Di Dong

13.3k total citations · 9 hit papers
199 papers, 9.5k citations indexed

About

Di Dong is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Di Dong has authored 199 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 146 papers in Radiology, Nuclear Medicine and Imaging, 87 papers in Pulmonary and Respiratory Medicine and 37 papers in Biomedical Engineering. Recurrent topics in Di Dong's work include Radiomics and Machine Learning in Medical Imaging (133 papers), Lung Cancer Diagnosis and Treatment (36 papers) and Gastric Cancer Management and Outcomes (34 papers). Di Dong is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (133 papers), Lung Cancer Diagnosis and Treatment (36 papers) and Gastric Cancer Management and Outcomes (34 papers). Di Dong collaborates with scholars based in China, United States and Greece. Di Dong's co-authors include Jie Tian, Mengjie Fang, Zhenyu Liu, Yali Zang, Mu Zhou, Zaiyi Liu, Jingwei Wei, Xiaoke Ma, Yongbei Zhu and Dongsheng Gu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biomaterials and JNCI Journal of the National Cancer Institute.

In The Last Decade

Di Dong

187 papers receiving 9.4k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges

2019 658 citations Zhenyu Liu, Di Dong et al. profile →
Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification

2016 461 citations Di Dong, Jie Tian et al. profile →
Radiomics Features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal Carcinoma

2017 389 citations Bin Zhang, Jie Tian et al. Clinical Cancer Research profile →
Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation

2017 355 citations Zaiyi Liu, Zhenyu Liu et al. profile →
Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning

2019 316 citations Jingyun Shi, Di Dong et al. profile →
Development and validation of an individualized nomogram to identify occult peritoneal metastasis in patients with advanced gastric cancer

2019 305 citations Di Dong, Jia Fu et al. profile →
Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study

2020 284 citations Di Dong, Diego Palumbo et al. profile →
Prognostic Value of Deep Learning PET/CT-Based Radiomics: Potential Role for Future Individual Induction Chemotherapy in Advanced Nasopharyngeal Carcinoma

2019 241 citations Hao Peng, Di Dong et al. Clinical Cancer Research profile →
Fluorescence image-guided tumour surgery

2023 133 citations Kun Wang, Yang Du et al. Nature Reviews Bioengineering profile →

Peers

Countries citing papers authored by Di Dong

Since Specialization

Citations

This map shows the geographic impact of Di Dong's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Di Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Di Dong more than expected).

Fields of papers citing papers by Di Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Di Dong. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Di Dong. The network helps show where Di Dong may publish in the future.

Co-authorship network of co-authors of Di Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Di Dong. A scholar is included among the top collaborators of Di Dong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Di Dong. Di Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Artificial Intelligence‐Driven Change Redefining Radiology Through Interdisciplinary Innovation (1/2025) 2025 ·Runqiu Huang, Xiaolin Meng, (unknown), Zhendong Luo, Lu Cao, Qianjin Feng, Guolin Ma, Di Dong, Yang Wang	1
2	Development, advancement, and clinical integration of artificial intelligence technology in gastric cancer 2025 ·Chinese Medical Journal ·Jia Fu, Mengjie Fang, (unknown), Xiaodong Li, Francesco De Cobelli, Diego Palumbo, (unknown), (unknown), Xu-Yao Zhang, Jingliang Zhang, (unknown), Di Dong	0
3	GCESS: A two-phase generative learning framework for estimate molecular expression to cell detection and analysis 2025 ·Image and Vision Computing ·(unknown), Lei Su, (unknown), Di Dong, Lizhi Shao	1
4	TripleSurv: Triplet Time-Adaptive Coordinate Learning Approach for Survival Analysis 2024 ·IEEE Transactions on Knowledge and Data Engineering ·Liwen Zhang, Lianzhen Zhong, (unknown), Ling‐Long Tang, Di Dong, Hui Hui, Jie Tian	0
5	The application of artificial intelligence in upper gastrointestinal cancers 2024 ·SHILAP Revista de lepidopterología ·Xiaoying Huang, (unknown), Mengjie Fang, (unknown), C. Y. Hu, (unknown), (unknown), (unknown), Ling Wu, (unknown), Francesco De Cobelli, (unknown), Diego Palumbo, Jie Tian, Di Dong	4
6	Pathology and physiology of acid-sensitive ion channels in the bladder 2024 ·Heliyon ·(unknown), Di Dong, Jialong Zhang, Kang Cheng, Zhen Fang, Mei Li, Binghai Chen	1
7	Fluorescence image-guided tumour surgery breakdown → 2023 ·Nature Reviews Bioengineering ·Kun Wang, Yang Du, Zeyu Zhang, Kunshan He, (unknown), Lin Yin, Di Dong, (unknown), (unknown), Zhenhua Hu, (unknown), Hui Hui, Chongwei Chi, Jie Tian	133
8	Comprehensive integrated analysis of MR and DCE-MR radiomics models for prognostic prediction in nasopharyngeal carcinoma 2023 ·SHILAP Revista de lepidopterología ·Hailin Li, Weiyuan Huang, Siwen Wang, (unknown), (unknown), Mengjie Fang, (unknown), (unknown), Di Dong, Jie Tian, Feng Chen	8
9	How Noise Can Influence Experience-Based Decision-Making under Different Types of the Provided Information 2022 ·International Journal of Environmental Research and Public Health ·(unknown), Di Dong, Gang He, (unknown)	5
10	A novel prognostic cancer-related lncRNA signature in papillary renal cell carcinoma 2021 ·Cancer Cell International ·Binghai Chen, Di Dong, Qin Yao, (unknown), Wei Hu	11
11	Cetuximab Plus Chemotherapy versus Chemotherapy Alone in Recurrent or Metastatic Head and Neck Squamous Cell Carcinoma: A Cost-Effectiveness Analysis 2020 ·SHILAP Revista de lepidopterología ·Yaw‐Dong Lang, Di Dong	1
12	MRI‐Based Deep‐Learning Model for Distant Metastasis‐Free Survival in Locoregionally Advanced Nasopharyngeal Carcinoma 2020 ·Journal of Magnetic Resonance Imaging ·Lu Zhang, Xiangjun Wu, Jing Liu, Bin Zhang, Xiaokai Mo, Qiuying Chen, Fang Jin, Fei Wang, Minmin Li, Zhuozhi Chen, Shuyi Liu, Luyan Chen, Jingjing You, Zhe Jin, (unknown), Di Dong, Shuixing Zhang	34
13	The Role of Imaging in the Detection and Management of COVID-19: A Review 2020 ·IEEE Reviews in Biomedical Engineering ·Di Dong, Zhenchao Tang, Shuo Wang, Hui Hui, Lixin Gong, Yao Lu, Zhong Xue, Hongen Liao, Fang Chen, Fan Yang, Ronghua Jin, Kun Wang, Zhenyu Liu, Jingwei Wei, Wei Mu, Hui Zhang, Jingying Jiang, Jie Tian, Hongjun Li	243
14	Prognostic Value of Deep Learning PET/CT-Based Radiomics: Potential Role for Future Individual Induction Chemotherapy in Advanced Nasopharyngeal Carcinoma breakdown → 2019 ·Clinical Cancer Research ·Hao Peng, Di Dong, (unknown), Lu Li, Ling‐Long Tang, Lei Chen, Wen-Fei Li, Yan‐Ping Mao, Wei Fan, Li-Zhi Liu, Li Tian, Ai-Hua Lin, Ying Sun, Jie Tian, Jun Ma	241
15	Prognostic value of the radiomics-based model in progression-free survival of hypopharyngeal cancer treated with chemoradiation 2019 ·European Radiology ·Xiaokai Mo, Xiangjun Wu, Di Dong, Baoliang Guo, Changhong Liang, Xiaoning Luo, Bin Zhang, Lu Zhang, Yuhao Dong, Zhouyang Lian, Jing Liu, Shufang Pei, Wenhui Huang, Fusheng Ouyang, Jie Tian, Shuixing Zhang	40
16	Development and validation of a magnetic resonance imaging-based model for the prediction of distant metastasis before initial treatment of nasopharyngeal carcinoma: A retrospective cohort study 2019 ·EBioMedicine ·Lu Zhang, Di Dong, Hailin Li, Jie Tian, Fusheng Ouyang, Xiaokai Mo, Bin Zhang, Xiaoning Luo, Zhouyang Lian, Shufang Pei, Yuhao Dong, Wenhui Huang, Changhong Liang, Jing Liu, Shuixing Zhang	78
17	A New Approach to Predict Progression-free Survival in Stage IV EGFR-mutant NSCLC Patients with EGFR-TKI Therapy 2018 ·Clinical Cancer Research ·Jiangdian Song, Jingyun Shi, Di Dong, Mengjie Fang, Wen‐Zhao Zhong, Kun Wang, Ning Wu, Yanqi Huang, Zhenyu Liu, Yue Cheng, Yuncui Gan, Yongzhao Zhou, Ping Zhou, Bojiang Chen, Changhong Liang, Zaiyi Liu, Weimin Li, Jie Tian	149
18	A Radiomics Signature in Preoperative Predicting Degree of Tumor Differentiation in Patients with Non–small Cell Lung Cancer 2018 ·Academic Radiology ·Xin Chen, Mengjie Fang, Di Dong, Xinhua Wei, Lingling Liu, Xiangdong Xu, Xinqing Jiang, Jie Tian, Zaiyi Liu	21
19	Radiomics Features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal Carcinoma breakdown → 2017 ·Clinical Cancer Research ·Bin Zhang, Jie Tian, Di Dong, Dongsheng Gu, Yuhao Dong, Lu Zhang, Zhouyang Lian, Jing Liu, Xiaoning Luo, Shufang Pei, Xiaokai Mo, Wenhui Huang, Fusheng Ouyang, Baoliang Guo, Long Liang, Wenbo Chen, Changhong Liang, Shuixing Zhang	389
20	Subtype discrimination of lung adenocarcinoma manifesting as ground glass nodule based on radiomics 2017 ·Zhonghua fangshexian yixue zazhi ·Li Fan, Mengjie Fang, Di Dong, Wenting Tu, Yun Wang, Qiong Li, Xiao Yi, Jie Tian	2

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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