Dapeng Hao

1.5k total citations
56 papers, 964 citations indexed

About

Dapeng Hao is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Dapeng Hao has authored 56 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Radiology, Nuclear Medicine and Imaging, 26 papers in Pulmonary and Respiratory Medicine and 18 papers in Surgery. Recurrent topics in Dapeng Hao's work include Radiomics and Machine Learning in Medical Imaging (24 papers), Sarcoma Diagnosis and Treatment (20 papers) and Bone Tumor Diagnosis and Treatments (13 papers). Dapeng Hao is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (24 papers), Sarcoma Diagnosis and Treatment (20 papers) and Bone Tumor Diagnosis and Treatments (13 papers). Dapeng Hao collaborates with scholars based in China, United States and Hong Kong. Dapeng Hao's co-authors include Hexiang Wang, Feng Hou, Val M. Runge, Jihua Liu, F Goerner, John N. Morelli, Daoyu Hu, Xiaoming Li, Yaqi Shen and Pei Nie and has published in prestigious journals such as Frontiers in Immunology, American Journal of Roentgenology and BioMed Research International.

In The Last Decade

Dapeng Hao

53 papers receiving 958 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dapeng Hao China 16 644 392 194 169 136 56 964
Daniel Balvay France 26 1.2k 1.8× 340 0.9× 54 0.3× 159 0.9× 348 2.6× 73 1.9k
Dirk Beyersdorff Germany 21 748 1.2× 831 2.1× 340 1.8× 323 1.9× 242 1.8× 72 1.5k
Ivan Platzek Germany 22 599 0.9× 512 1.3× 151 0.8× 235 1.4× 95 0.7× 81 1.3k
James R. Fink United States 20 556 0.9× 261 0.7× 34 0.2× 118 0.7× 103 0.8× 37 1.1k
Julia K. Locklin United States 17 769 1.2× 959 2.4× 248 1.3× 263 1.6× 312 2.3× 32 1.7k
Zhen Wu China 16 423 0.7× 365 0.9× 346 1.8× 159 0.9× 119 0.9× 84 1.3k
Zarine K. Shah United States 19 400 0.6× 257 0.7× 99 0.5× 637 3.8× 74 0.5× 47 1.3k
Jan C. Peeken Germany 19 686 1.1× 491 1.3× 144 0.7× 104 0.6× 256 1.9× 64 1.1k
Mitsuru Matsuki Japan 26 995 1.5× 480 1.2× 70 0.4× 529 3.1× 292 2.1× 102 1.9k
Julian Kirchner Germany 23 829 1.3× 392 1.0× 77 0.4× 127 0.8× 75 0.6× 79 1.2k

Countries citing papers authored by Dapeng Hao

Since Specialization
Citations

This map shows the geographic impact of Dapeng Hao'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 Dapeng Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dapeng Hao more than expected).

Fields of papers citing papers by Dapeng Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dapeng Hao. 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 Dapeng Hao. The network helps show where Dapeng Hao may publish in the future.

Co-authorship network of co-authors of Dapeng Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Dapeng Hao. A scholar is included among the top collaborators of Dapeng Hao 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 Dapeng Hao. Dapeng Hao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hao, Dapeng, Yongqiang Li, Huiyun Liu, et al.. (2025). Deformation monitoring of large steel structure based on terrestrial laser scanning technology. Measurement. 248. 116962–116962. 1 indexed citations
2.
Wang, Dexin, et al.. (2025). Two stages framework based on foundation model and Kolmogorov Cross-Domain Decoupled Network for spinal disease analysis. Biomedical Signal Processing and Control. 115. 109412–109412.
3.
Hao, Dapeng & Shengjie Chen. (2025). Targeting tumor-associated macrophages in non-small cell lung cancer: mechanisms, prognosis, and therapeutic opportunities. Frontiers in Immunology. 16. 1679537–1679537.
4.
Wang, Tongyu, Peng Zhang, Hexiang Wang, et al.. (2022). An MRI‐Based Radiomics Nomogram to Assess Recurrence Risk in Sinonasal Malignant Tumors. Journal of Magnetic Resonance Imaging. 58(2). 520–531. 9 indexed citations
5.
6.
7.
Hao, Dapeng, Jie Li, Jihua Liu, et al.. (2021). Magnetic Resonance Imaging‐Based Radiomics Nomogram for Prediction of the Histopathological Grade of Soft Tissue Sarcomas: A Two‐Center Study. Journal of Magnetic Resonance Imaging. 53(6). 1683–1696. 42 indexed citations
8.
Liu, Shunli, Chencui Huang, Jingxu Xu, et al.. (2021). Deep learning radiomic nomogram to predict recurrence in soft tissue sarcoma: a multi-institutional study. European Radiology. 32(2). 793–805. 39 indexed citations
9.
10.
Li, Xuening, Dapeng Hao, Meijie Qu, et al.. (2021). Development and Validation of a Plasma FAM19A5 and MRI-Based Radiomics Model for Prediction of Parkinson’s Disease and Parkinson’s Disease With Depression. Frontiers in Neuroscience. 15. 795539–795539. 8 indexed citations
11.
Wang, Hexiang, Dapeng Hao, Yaqiong Ge, et al.. (2020). AnMRI‐Based Radiomic Nomogram for Discrimination Between Malignant and Benign Sinonasal Tumors. Journal of Magnetic Resonance Imaging. 53(1). 141–151. 22 indexed citations
12.
Wang, Hexiang, Jian Zhang, Shan Bao, et al.. (2020). Preoperative MRI‐Based Radiomic Machine‐Learning Nomogram May Accurately Distinguish Between Benign and Malignant Soft‐Tissue Lesions: A Two‐Center Study. Journal of Magnetic Resonance Imaging. 52(3). 873–882. 55 indexed citations
13.
Wang, Hexiang, et al.. (2019). Radiomics and Machine Learning With Multiparametric Preoperative MRI May Accurately Predict the Histopathological Grades of Soft Tissue Sarcomas. Journal of Magnetic Resonance Imaging. 51(3). 791–797. 58 indexed citations
14.
Nie, Pei, Guangjie Yang, Zhenguang Wang, et al.. (2019). A CT-based radiomics nomogram for differentiation of renal angiomyolipoma without visible fat from homogeneous clear cell renal cell carcinoma. European Radiology. 30(2). 1274–1284. 81 indexed citations
15.
Wang, Hexiang, et al.. (2018). MRI Findings of Early Myositis Ossificans without Calcification or Ossification. BioMed Research International. 2018. 1–6. 10 indexed citations
16.
17.
Yang, Guang, Li Li, & Dapeng Hao. (2017). The Zero Lower Bound, Monetary Policy and Financial Stability. Cai-jing yanjiu. 43(1). 41–50. 1 indexed citations
18.
Hao, Dapeng, et al.. (2011). Pigmented Villonodular Synovitis of the Ankle. Journal of the American Podiatric Medical Association. 101(3). 252–258. 7 indexed citations
19.
Hao, Dapeng, et al.. (2010). Primary Ewing's sarcoma of the cervical vertebra: one case report and literature review. Journal of Pediatric Orthopaedics B. 19(3). 276–280. 6 indexed citations
20.
Hao, Dapeng, et al.. (2010). Osteochondral Lesions of the Talus. Journal of the American Podiatric Medical Association. 100(3). 189–194. 7 indexed citations

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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