Bo Jin

1.8k total citations
52 papers, 1.0k citations indexed

About

Bo Jin is a scholar working on Artificial Intelligence, Epidemiology and Molecular Biology. According to data from OpenAlex, Bo Jin has authored 52 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 13 papers in Epidemiology and 12 papers in Molecular Biology. Recurrent topics in Bo Jin's work include Chronic Disease Management Strategies (6 papers), Machine Learning in Bioinformatics (4 papers) and Face and Expression Recognition (4 papers). Bo Jin is often cited by papers focused on Chronic Disease Management Strategies (6 papers), Machine Learning in Bioinformatics (4 papers) and Face and Expression Recognition (4 papers). Bo Jin collaborates with scholars based in China, United States and Germany. Bo Jin's co-authors include Yanqing Zhang, Yuchun Tang, Xuefeng B. Ling, Shiying Hao, Karl G. Sylvester, Frank Stearns, Eric Widen, Chunqing Zhu, Shaun T Alfreds and Doff B. McElhinney and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and BMC Bioinformatics.

In The Last Decade

Bo Jin

50 papers receiving 960 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bo Jin China 18 335 166 159 125 116 52 1.0k
Guotong Xie China 23 616 1.8× 237 1.4× 239 1.5× 149 1.2× 94 0.8× 172 1.8k
Michael Moor Switzerland 12 608 1.8× 96 0.6× 259 1.6× 89 0.7× 90 0.8× 25 1.5k
Tu Bao Ho Japan 17 543 1.6× 274 1.7× 119 0.7× 71 0.6× 99 0.9× 82 1.6k
Guilan Kong China 20 360 1.1× 65 0.4× 183 1.2× 159 1.3× 80 0.7× 57 1.1k
Emmanuel Chazard France 19 158 0.5× 127 0.8× 149 0.9× 172 1.4× 117 1.0× 127 1.1k
Szymon Wilk Poland 19 447 1.3× 133 0.8× 99 0.6× 213 1.7× 22 0.2× 81 986
Shyam Visweswaran United States 23 721 2.2× 499 3.0× 181 1.1× 243 1.9× 68 0.6× 129 1.9k
Alain Venot France 24 185 0.6× 242 1.5× 163 1.0× 156 1.2× 71 0.6× 88 1.7k
E.R. Carson United Kingdom 26 298 0.9× 237 1.4× 93 0.6× 143 1.1× 112 1.0× 121 1.9k
You Chen United States 24 614 1.8× 174 1.0× 188 1.2× 398 3.2× 84 0.7× 140 2.1k

Countries citing papers authored by Bo Jin

Since Specialization
Citations

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

Fields of papers citing papers by Bo Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Bo Jin. A scholar is included among the top collaborators of Bo Jin 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 Bo Jin. Bo Jin 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, Peiliang, et al.. (2025). MGTNSyn: Molecular structure-aware graph transformer network with relational attention for drug synergy prediction. Expert Systems with Applications. 282. 127699–127699. 1 indexed citations
2.
Li, Xiao, Bo Jin, Yun Ding, et al.. (2022). Serological Phenotyping Analysis Uncovers a Unique Metabolomic Pattern Associated With Early Onset of Type 2 Diabetes Mellitus. Frontiers in Molecular Biosciences. 9. 841209–841209. 5 indexed citations
3.
Chen, Feng, et al.. (2021). Candida meningitis in an infant after abdominal surgery successfully treated with intrathecal and intravenous amphotericin B. Medicine. 100(37). e27205–e27205. 2 indexed citations
4.
5.
Ye, Chengyin, Jinmei Li, Shiying Hao, et al.. (2020). Identification of elders at higher risk for fall with statewide electronic health records and a machine learning algorithm. International Journal of Medical Informatics. 137. 104105–104105. 64 indexed citations
6.
Zhang, Yan, Shiying Hao, Le Zheng, et al.. (2019). Prediction of the 1-Year Risk of Incident Lung Cancer: Prospective Study Using Electronic Health Records from the State of Maine. Journal of Medical Internet Research. 21(5). e13260–e13260. 35 indexed citations
7.
Ye, Chengyin, Oliver Wang, Modi Liu, et al.. (2019). A Real-Time Early Warning System for Monitoring Inpatient Mortality Risk: Prospective Study Using Electronic Medical Record Data. Journal of Medical Internet Research. 21(7). e13719–e13719. 38 indexed citations
8.
Ye, Chengyin, Tianyun Fu, Shiying Hao, et al.. (2018). Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning. Journal of Medical Internet Research. 20(1). e22–e22. 171 indexed citations
9.
Hao, Shiying, Tianyun Fu, Qian Wu, et al.. (2017). Estimating One-Year Risk of Incident Chronic Kidney Disease: Retrospective Development and Validation Study Using Electronic Medical Record Data From the State of Maine. JMIR Medical Informatics. 5(3). e21–e21. 13 indexed citations
10.
Jin, Bo, Yifan Zhao, Shiying Hao, et al.. (2016). Prospective stratification of patients at risk for emergency department revisit: resource utilization and population management strategy implications. BMC Emergency Medicine. 16(1). 10–10. 23 indexed citations
11.
Hu, Zhongkai, Shiying Hao, Bo Jin, et al.. (2015). Online Prediction of Health Care Utilization in the Next Six Months Based on Electronic Health Record Information: A Cohort and Validation Study. Journal of Medical Internet Research. 17(9). e219–e219. 19 indexed citations
12.
Hao, Shiying, Yue Wang, Bo Jin, et al.. (2015). Development, Validation and Deployment of a Real Time 30 Day Hospital Readmission Risk Assessment Tool in the Maine Healthcare Information Exchange. PLoS ONE. 10(10). e0140271–e0140271. 45 indexed citations
13.
Shin, Andrew Y., Bo Jin, Shiying Hao, et al.. (2014). Utility of Clinical Biomarkers to Predict Central Line-associated Bloodstream Infections After Congenital Heart Surgery. The Pediatric Infectious Disease Journal. 34(3). 251–254. 11 indexed citations
14.
Hao, Shiying, Bo Jin, Andrew Y. Shin, et al.. (2014). Risk Prediction of Emergency Department Revisit 30 Days Post Discharge: A Prospective Study. PLoS ONE. 9(11). e112944–e112944. 70 indexed citations
15.
Jin, Bo, Yu Dong, Xueyan Zhang, Huimin Wang, & Baohui Han. (2014). Association of XPC Polymorphisms and Lung Cancer Risk: A Meta-Analysis. PLoS ONE. 9(4). e93937–e93937. 25 indexed citations
16.
Huang, Liming, et al.. (2014). Association of polymorphisms of the xeroderma pigmentosum complementation group F gene with increased glioma risk. Genetics and Molecular Research. 13(2). 3826–3831. 5 indexed citations
17.
Wang, Huimin, Xueyan Zhang, & Bo Jin. (2013). TERT Genetic Polymorphism rs2736100 Was Associated with Lung Cancer: A Meta-Analysis Based on 14,492 Subjects. Genetic Testing and Molecular Biomarkers. 17(12). 937–941. 14 indexed citations
18.
Muller, Brian, Adam Richards, Bo Jin, & Xinghua Lu. (2009). GOGrapher: A Python library for GO graph representation and analysis. BMC Research Notes. 2(1). 122–122. 10 indexed citations
19.
Jin, Bo & Hong‐Fei Teng. (2007). Case-based evolutionary design approach for satellite module layout. Journal of Scientific & Industrial Research. 66(12). 989–994. 3 indexed citations
20.
Tang, Yuchun, Bo Jin, & Yanqing Zhang. (2005). Granular support vector machines with association rules mining for protein homology prediction. Artificial Intelligence in Medicine. 35(1-2). 121–134. 38 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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