Bingjun He

572 total citations
32 papers, 426 citations indexed

About

Bingjun He is a scholar working on Epidemiology, Hepatology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Bingjun He has authored 32 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Epidemiology, 17 papers in Hepatology and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Bingjun He's work include Liver Disease Diagnosis and Treatment (16 papers), Hepatocellular Carcinoma Treatment and Prognosis (15 papers) and MRI in cancer diagnosis (11 papers). Bingjun He is often cited by papers focused on Liver Disease Diagnosis and Treatment (16 papers), Hepatocellular Carcinoma Treatment and Prognosis (15 papers) and MRI in cancer diagnosis (11 papers). Bingjun He collaborates with scholars based in China, United States and Italy. Bingjun He's co-authors include Jingbiao Chen, Sichi Kuang, Qungang Shan, Hao Yang, Yao Zhang, Ying Deng, Jin Wang, Sudhakar K. Venkatesh, Jun Wu and Sidong Xie and has published in prestigious journals such as American Journal of Roentgenology, Journal of Magnetic Resonance Imaging and European Radiology.

In The Last Decade

Bingjun He

29 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bingjun He China 13 229 186 177 53 53 32 426
Jingbiao Chen China 15 296 1.3× 187 1.0× 227 1.3× 63 1.2× 51 1.0× 27 470
Sichi Kuang China 14 281 1.2× 246 1.3× 198 1.1× 65 1.2× 72 1.4× 22 497
Linqi Zhang China 13 148 0.6× 175 0.9× 102 0.6× 79 1.5× 38 0.7× 43 390
Ling Huo China 8 154 0.7× 77 0.4× 99 0.6× 69 1.3× 47 0.9× 19 335
Adrija Mamidipalli United States 12 418 1.8× 263 1.4× 406 2.3× 98 1.8× 40 0.8× 18 631
Sidong Xie China 12 225 1.0× 179 1.0× 123 0.7× 44 0.8× 29 0.5× 22 341
Zhujun Deng China 9 97 0.4× 64 0.3× 171 1.0× 25 0.5× 49 0.9× 15 366
Jianmin Ding China 11 298 1.3× 69 0.4× 199 1.1× 99 1.9× 83 1.6× 36 464
Yiquan Jiang China 8 141 0.6× 108 0.6× 74 0.4× 64 1.2× 30 0.6× 25 305
Zebin Chen China 12 259 1.1× 181 1.0× 77 0.4× 59 1.1× 36 0.7× 28 485

Countries citing papers authored by Bingjun He

Since Specialization
Citations

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

Fields of papers citing papers by Bingjun He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bingjun He

This figure shows the co-authorship network connecting the top 25 collaborators of Bingjun He. A scholar is included among the top collaborators of Bingjun 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 Bingjun He. Bingjun 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.
Tang, Wenjie, Sichi Kuang, Bingjun He, et al.. (2025). Intraindividual crossover comparison of gadobenate dimeglumine-enhanced and gadoxetate disodium-enhanced MRI for characterizing focal liver lesions. European Radiology Experimental. 9(1). 23–23.
2.
Chen, Wen‐Ying, Xi Long, Mengsi Li, et al.. (2024). 3D MR elastography-based stiffness as a marker for predicting tumor grade and subtype in cervical cancer. Magnetic Resonance Imaging. 109. 173–179. 1 indexed citations
3.
Chen, Jingbiao, Hang Jiang, Ning Guo, et al.. (2022). MR elastography as a biomarker for prediction of early and late recurrence in HBV-related hepatocellular carcinoma patients before hepatectomy. European Journal of Radiology. 152. 110340–110340. 15 indexed citations
4.
Jiang, Ting, Jing Zhou, Sichi Kuang, et al.. (2021). Accuracies of Chemical Shift In/Opposed Phase and Chemical Shift Encoded Magnetic Resonance Imaging to Detect Intratumoral Fat in Hepatocellular Carcinoma. Journal of Magnetic Resonance Imaging. 53(6). 1791–1802. 7 indexed citations
5.
Liang, Yingying, Sichi Kuang, Jingbiao Chen, et al.. (2021). Liver Imaging and Data System (LI‐RADS) Version 2018 and Other Imaging Features in Intrahepatic Cholangiocarcinoma in Chinese Adults with vs. without Chronic Hepatitis B Viral Infection. Canadian Journal of Gastroenterology and Hepatology. 2021(1). 6639600–6639600. 3 indexed citations
6.
Hu, Bing, Ying Deng, Jingbiao Chen, et al.. (2021). Evaluation of MR elastography for prediction of lymph node metastasis in prostate cancer. Abdominal Radiology. 46(7). 3387–3400. 17 indexed citations
7.
Li, Mengsi, Hao Yang, Yong Liu, et al.. (2021). Comparison of the diagnostic performance of 2D and 3D MR elastography in staging liver fibrosis. European Radiology. 31(12). 9468–9478. 20 indexed citations
8.
Zhang, Linqi, Xi Long, Mayidili Nijiati, et al.. (2021). Tumor stiffness measured by 3D magnetic resonance elastography can help predict the aggressiveness of endometrial carcinoma: preliminary findings. Cancer Imaging. 21(1). 50–50. 10 indexed citations
9.
Liu, Wei‐Min, Sichi Kuang, Sidong Xie, et al.. (2021). Preoperative prediction of pathologic grade of HCC on gadobenate dimeglumine-enhanced dynamic MRI. European Radiology. 31(10). 7584–7593. 18 indexed citations
11.
Xie, Sidong, Yao Zhang, Jingbiao Chen, et al.. (2021). Can modified LI-RADS increase the sensitivity of LI-RADS v2018 for the diagnosis of 10–19 mm hepatocellular carcinoma on gadoxetic acid-enhanced MRI?. Abdominal Radiology. 47(2). 596–607. 14 indexed citations
12.
Deng, Ying, Tianhui Zhang, Bing Hu, et al.. (2021). Magnetic resonance elastography of the prostate in patients with lower urinary tract symptoms: feasibility of the modified driver at high multi-frequencies. Abdominal Radiology. 47(1). 399–408. 5 indexed citations
13.
Chen, Jingbiao, Sichi Kuang, Yao Zhang, et al.. (2020). Increasing the sensitivity of LI-RADS v2018 for diagnosis of small (10–19 mm) HCC on extracellular contrast-enhanced MRI. Abdominal Radiology. 46(4). 1530–1542. 12 indexed citations
15.
Zhang, Yao, Sichi Kuang, Qungang Shan, et al.. (2019). Can IVIM help predict HCC recurrence after hepatectomy?. European Radiology. 29(11). 5791–5803. 32 indexed citations
16.
Wang, Jin, Kevin J. Glaser, Tianhui Zhang, et al.. (2017). Assessment of advanced hepatic MR elastography methods for susceptibility artifact suppression in clinical patients. Journal of Magnetic Resonance Imaging. 47(4). 976–987. 30 indexed citations
17.
Shan, Qungang, Jingbiao Chen, Tianhui Zhang, et al.. (2017). Evaluating histologic differentiation of hepatitis B virus-related hepatocellular carcinoma using intravoxel incoherent motion and AFP levels alone and in combination. Abdominal Radiology. 42(8). 2079–2088. 22 indexed citations
18.
Su, Zhongzhen, et al.. (2009). An experimental study of quantitative diagnosis of fatty liver by imaging technology. Zhonghua chaosheng yingxiangxue zazhi. 18(7). 621–624.
19.
Su, Zhongzhen, Hong Shan, Bingjun He, et al.. (2008). Selection of the most powerful predictors for the evaluation of hepatic steatosis grade: An experimental study. European Journal of Radiology. 72(1). 118–124. 1 indexed citations
20.
He, Bingjun. (1997). Semiquantitative analysis of human papillomavirus DNA in cervical intraepithelial neoplasia by a differential polymerase chain reaction. Journal of Obstetrics and Gynaecology. 17(2). 176–179. 3 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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