Bingxi He

1.4k total citations
27 papers, 854 citations indexed

About

Bingxi He is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Bingxi He has authored 27 papers receiving a total of 854 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Pulmonary and Respiratory Medicine and 7 papers in Biomedical Engineering. Recurrent topics in Bingxi He's work include Radiomics and Machine Learning in Medical Imaging (18 papers), Lung Cancer Diagnosis and Treatment (5 papers) and AI in cancer detection (4 papers). Bingxi He is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (18 papers), Lung Cancer Diagnosis and Treatment (5 papers) and AI in cancer detection (4 papers). Bingxi He collaborates with scholars based in China, United States and Japan. Bingxi He's co-authors include Jie Tian, Di Dong, Mengjie Fang, Xiangjun Wu, Zhipei Huang, Hongjun Li, Xin Yang, Hui Hui, Li Wang and Liang Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and Cancer Research.

In The Last Decade

Bingxi He

25 papers receiving 839 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bingxi He China 15 672 332 234 168 94 27 854
Roman Zeleznik United States 8 716 1.1× 399 1.2× 271 1.2× 82 0.5× 184 2.0× 15 892
Lise Wei United States 13 627 0.9× 218 0.7× 176 0.8× 117 0.7× 197 2.1× 24 860
Germán Corredor United States 13 524 0.8× 293 0.9× 299 1.3× 348 2.1× 78 0.8× 57 908
Yiwen Xu United States 9 467 0.7× 392 1.2× 246 1.1× 130 0.8× 116 1.2× 22 803
Xiangxue Wang United States 13 444 0.7× 193 0.6× 339 1.4× 241 1.4× 58 0.6× 31 759
Jiangdian Song China 18 1.2k 1.7× 696 2.1× 285 1.2× 163 1.0× 285 3.0× 40 1.3k
Olya Grove United States 6 757 1.1× 320 1.0× 162 0.7× 142 0.8× 197 2.1× 9 896
Fadila Zerka Netherlands 7 418 0.6× 155 0.5× 151 0.6× 73 0.4× 124 1.3× 14 646
Yongbei Zhu China 14 1.2k 1.8× 559 1.7× 418 1.8× 320 1.9× 145 1.5× 25 1.5k

Countries citing papers authored by Bingxi He

Since Specialization
Citations

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

Fields of papers citing papers by Bingxi He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bingxi He

This figure shows the co-authorship network connecting the top 25 collaborators of Bingxi He. A scholar is included among the top collaborators of Bingxi He 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 Bingxi He. Bingxi He 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.
Zhang, Yanxia, Bingxi He, Haibo Xu, et al.. (2025). Evidence that metformin promotes fibrosis resolution via activating alveolar epithelial stem cells and FGFR2b signaling. Acta Pharmaceutica Sinica B. 15(9). 4711–4729.
2.
Bao, Feng, Le Zhou, Bingxi He, et al.. (2025). Optimizing the Charge Transfer Complex Structure of Polyimides with Fluorinated Side Biphenyl for Superior High‐Temperature Capacitive Performance. Advanced Functional Materials. 35(37). 9 indexed citations
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6.
He, Bingxi, C. Y. Hu, Zaiyi Liu, et al.. (2024). ContraSurv: Enhancing Prognostic Assessment of Medical Images via Data-Efficient Weakly Supervised Contrastive Learning. IEEE Journal of Biomedical and Health Informatics. 29(2). 1232–1242. 4 indexed citations
7.
Wu, Xiangjun, Pengli Gao, Peng Zhang, et al.. (2023). Cross-domain knowledge transfer based parallel-cascaded multi-scale attention network for limited view reconstruction in projection magnetic particle imaging. Computers in Biology and Medicine. 158. 106809–106809. 6 indexed citations
8.
Wang, Siwen, Bo Liu, Bingxi He, et al.. (2023). A multi-view co-training network for semi-supervised medical image-based prognostic prediction. Neural Networks. 164. 455–463. 10 indexed citations
9.
Gong, Lixin, Min Xu, Mengjie Fang, et al.. (2022). The potential of prostate gland radiomic features in identifying the Gleason score. Computers in Biology and Medicine. 144. 105318–105318. 19 indexed citations
10.
He, Bingxi, Yifan Zhong, Yongbei Zhu, et al.. (2022). Deep learning for predicting immunotherapeutic efficacy in advanced non-small cell lung cancer patients: a retrospective study combining progression-free survival risk and overall survival risk. Translational Lung Cancer Research. 11(4). 670–685. 20 indexed citations
11.
She, Yunlang, Bingxi He, Yifan Zhong, et al.. (2022). Deep learning for predicting major pathological response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer: A multicentre study. EBioMedicine. 86. 104364–104364. 49 indexed citations
12.
Zhang, Shuaitong, Wei Mu, Di Dong, et al.. (2022). The Applications of Artificial Intelligence in Digestive System Neoplasms: A Review. SHILAP Revista de lepidopterología. 3. 5–5. 8 indexed citations
13.
Wu, Xiangjun, Bingxi He, Pengli Gao, et al.. (2022). PGNet: Projection generative network for sparse‐view reconstruction of projection‐based magnetic particle imaging. Medical Physics. 50(4). 2354–2371. 15 indexed citations
14.
He, Bingxi, Yongxiang Song, Lili Wang, et al.. (2021). A machine learning-based prediction of the micropapillary/solid growth pattern in invasive lung adenocarcinoma with radiomics. Translational Lung Cancer Research. 10(2). 955–964. 32 indexed citations
15.
Liu, Yujia, Di Dong, Ping Liu, et al.. (2021). Computed tomography-based radiomic model at node level for the prediction of normal-sized lymph node metastasis in cervical cancer. Translational Oncology. 14(8). 101113–101113. 17 indexed citations
16.
Wu, Xiangjun, Hui Hui, Meng Niu, et al.. (2020). Deep learning-based multi-view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study. European Journal of Radiology. 128. 109041–109041. 197 indexed citations
17.
Zhong, Lianzhen, Xueliang Fang, Di Dong, et al.. (2020). A deep learning MR-based radiomic nomogram may predict survival for nasopharyngeal carcinoma patients with stage T3N1M0. Radiotherapy and Oncology. 151. 1–9. 45 indexed citations
18.
19.
Gong, Lixin, Min Xu, Mengjie Fang, et al.. (2019). Non-Invasive Prediction of Prostate Cancer Gleason Scores via Radiomics Analysis. SSRN Electronic Journal. 2 indexed citations
20.
Chen, Hu, Jieping Xu, & Bingxi He. (2013). Automated Essay Scoring by Capturing Relative Writing Quality. The Computer Journal. 57(9). 1318–1330. 25 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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