Binhua Dong

1.8k total citations · 1 hit paper
61 papers, 1.2k citations indexed

About

Binhua Dong is a scholar working on Epidemiology, Surgery and Molecular Biology. According to data from OpenAlex, Binhua Dong has authored 61 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Epidemiology, 20 papers in Surgery and 12 papers in Molecular Biology. Recurrent topics in Binhua Dong's work include Cervical Cancer and HPV Research (38 papers), Genital Health and Disease (17 papers) and AI in cancer detection (9 papers). Binhua Dong is often cited by papers focused on Cervical Cancer and HPV Research (38 papers), Genital Health and Disease (17 papers) and AI in cancer detection (9 papers). Binhua Dong collaborates with scholars based in China, Germany and Australia. Binhua Dong's co-authors include Pengming Sun, Xiaodan Mao, Huifeng Xue, Guanyu Ruan, A. Q. Liu, L. C. Kwek, Anthony Laing, Man‐Hong Yung, Raffaele Santagati and Jayne Thompson and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Binhua Dong

55 papers receiving 1.2k citations

Hit Papers

An optical neural chip for implementing complex-valued ne... 2021 2026 2022 2024 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Binhua Dong China 16 487 375 371 281 150 61 1.2k
Cuiwei Liu China 18 126 0.3× 212 0.6× 51 0.1× 267 1.0× 190 1.3× 58 1.1k
Xihan Li China 37 4.2k 8.7× 126 0.3× 177 0.5× 681 2.4× 90 0.6× 112 5.4k
Martial Guillaud Canada 22 269 0.6× 11 0.0× 388 1.0× 353 1.3× 187 1.2× 107 1.5k
Zhensheng Zhang China 24 111 0.2× 694 1.9× 452 1.2× 312 1.1× 81 0.5× 106 2.0k
Jenna L. Mueller United States 14 93 0.2× 111 0.3× 108 0.3× 43 0.2× 84 0.6× 46 574
Michael J. Thrall United States 20 247 0.5× 10 0.0× 379 1.0× 156 0.6× 249 1.7× 70 1.1k
Lambrecht P. Kok Netherlands 15 76 0.2× 29 0.1× 205 0.6× 228 0.8× 89 0.6× 44 683
Liane Bernstein United States 11 511 1.0× 489 1.3× 52 0.1× 228 0.8× 327 2.2× 28 1.6k
Holger A. Haenssle Germany 24 400 0.8× 53 0.1× 628 1.7× 348 1.2× 1.3k 8.3× 134 2.3k
Peng Ding China 21 12 0.0× 203 0.5× 125 0.3× 475 1.7× 307 2.0× 88 1.5k

Countries citing papers authored by Binhua Dong

Since Specialization
Citations

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

Fields of papers citing papers by Binhua Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Binhua Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Binhua Dong. A scholar is included among the top collaborators of Binhua 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 Binhua Dong. Binhua Dong 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.
Lu, Zhen, Binhua Dong, Tian Tian, et al.. (2025). Identifying Data-Driven Clinical Subgroups for Cervical Cancer Prevention With Machine Learning: Population-Based, External, and Diagnostic Validation Study. JMIR Public Health and Surveillance. 11. e67840–e67840. 1 indexed citations
2.
Zhang, Yan, Ting Hu, Binhua Dong, et al.. (2025). Effect of HPV integration on prognosis of young women with CIN2 in China: protocol for a multicentre prospective cohort study. BMJ Open. 15(4). e093863–e093863.
3.
Dong, Binhua, Zhen Lü, Tianjie Yang, et al.. (2025). Development, validation, and clinical application of a machine learning model for risk stratification and management of cervical cancer screening based on full-genotyping hrHPV test (SMART-HPV): a modelling study. The Lancet Regional Health - Western Pacific. 55. 101480–101480. 5 indexed citations
4.
Dong, Binhua, Ye Li, Tingting Jiang, et al.. (2025). Risk Factors of Positive Endocervical Curettage and Predictive Model Construction Based on Primary Human Papillomavirus Screening. Technology in Cancer Research & Treatment. 24. 2234054461–2234054461.
5.
Ren, Yuan, et al.. (2024). Prognostic Prediction for Recurrent/Residual CIN in HSIL Patients After Conization: An Updated Retrospective Study Based on Ambulatory Surgery. Journal of Inflammation Research. Volume 17. 9087–9102. 1 indexed citations
6.
Chen, Yanlin, et al.. (2023). Platelet-to-Lymphocyte Ratio (PLR) as the Prognostic Factor for Recurrence/Residual Disease in HSIL Patients After LEEP. Journal of Inflammation Research. Volume 16. 1923–1936. 7 indexed citations
7.
Ye, Li, Yanlin Chen, Wenyu Lin, et al.. (2023). Peripheral blood lymphocytes influence human papillomavirus infection and clearance: a retrospective cohort study. Virology Journal. 20(1). 80–80.
8.
Dong, Binhua, et al.. (2022). Changes of the vaginal microbiota in HPV infection and cervical intraepithelial neoplasia: a cross-sectional analysis. Scientific Reports. 12(1). 2812–2812. 54 indexed citations
9.
Mao, Xiaobo, et al.. (2020). Peripheral Blood Inflammatory-Immune Cells as a Predictor of Infertility in Women with Polycystic Ovary Syndrome. SHILAP Revista de lepidopterología. 2 indexed citations
10.
Tong, Yao, et al.. (2020). Coinfection of High-Risk Human Papillomavirus and Lower Genital Tract Pathogens in the Development of High-Grade Cervical Lesions. Canadian Journal of Infectious Diseases and Medical Microbiology. 2020. 1–8. 1 indexed citations
11.
Zhu, Bin, et al.. (2020). <p>Combined Detection of ACTN4 and SCC-Ag is a Promising Serological Biomarker for Cervical Intraepithelial Neoplasia 3 or Worse: A Case–Control Study</p>. Risk Management and Healthcare Policy. Volume 13. 2677–2687. 5 indexed citations
13.
Mao, Xiaodan, et al.. (2020). <p>Peripheral Blood Inflammatory-Immune Cells as a Predictor of Infertility in Women with Polycystic Ovary Syndrome</p>. Journal of Inflammation Research. Volume 13. 441–450. 33 indexed citations
14.
Mao, Xiaodan, Binhua Dong, Min Gao, et al.. (2019). <p>Dual targeting of estrogen receptor α and estrogen-related receptor α: a novel endocrine therapy for endometrial cancer</p>. OncoTargets and Therapy. Volume 12. 6757–6767. 16 indexed citations
15.
Dong, Binhua, et al.. (2019). Dual targeting of estrogen receptor &alpha; and estrogen-related receptor &alpha;: a novel endocrine therapy for endometrial cancer. SHILAP Revista de lepidopterología. 1 indexed citations
16.
Sun, Pengming, et al.. (2018). PCR-reverse dot blot human papillomavirus genotyping as a primary screening test for cervical cancer in a hospital-based cohort. Journal of Gynecologic Oncology. 30(3). e29–e29. 12 indexed citations
17.
Mao, Xiaodan, et al.. (2018). Clinical validation of the Cervista<sup>&reg;</sup>&nbsp;high-risk human papillomavirus test in Chinese women from Fujian province: a cross-sectional study. Therapeutics and Clinical Risk Management. Volume 14. 2243–2253. 2 indexed citations
18.
Ruan, Guanyu, et al.. (2018). Cervical cancer screening using the Cervista high-risk human papillomavirus test: opportunistic screening of a hospital-based population in Fujian province, China. Cancer Management and Research. Volume 10. 3227–3235. 7 indexed citations
19.

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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