Mingxiang Cai

1.2k total citations
26 papers, 702 citations indexed

About

Mingxiang Cai is a scholar working on Epidemiology, Sociology and Political Science and Infectious Diseases. According to data from OpenAlex, Mingxiang Cai has authored 26 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 5 papers in Sociology and Political Science and 4 papers in Infectious Diseases. Recurrent topics in Mingxiang Cai's work include Data-Driven Disease Surveillance (7 papers), Misinformation and Its Impacts (5 papers) and HIV, Drug Use, Sexual Risk (5 papers). Mingxiang Cai is often cited by papers focused on Data-Driven Disease Surveillance (7 papers), Misinformation and Its Impacts (5 papers) and HIV, Drug Use, Sexual Risk (5 papers). Mingxiang Cai collaborates with scholars based in United States, China and Germany. Mingxiang Cai's co-authors include Tim K. Mackey, Jiawei Li, Raphael Cuomo, Qing Xu, Lianwen Jin, Yaqiang Wu, Neal Shah, Vidya Purushothaman, Qianying Wang and Matthew Nali and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Environmental Research and Public Health.

In The Last Decade

Mingxiang Cai

25 papers receiving 680 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingxiang Cai United States 13 198 158 155 95 70 26 702
Zhewei Liu Hong Kong 16 39 0.2× 161 1.0× 56 0.4× 36 0.4× 7 0.1× 42 649
Md. Mehedi Hassan Bangladesh 15 88 0.4× 27 0.2× 235 1.5× 51 0.5× 8 0.1× 93 932
Han Yue China 15 48 0.2× 112 0.7× 72 0.5× 32 0.3× 8 0.1× 31 543
Raydonal Ospina Brazil 14 106 0.5× 36 0.2× 114 0.7× 25 0.3× 10 0.1× 65 961
Shehzad Afzal United States 10 189 1.0× 121 0.8× 95 0.6× 68 0.7× 7 0.1× 19 461
Laëtitia Gauvin Italy 16 37 0.2× 117 0.7× 62 0.4× 96 1.0× 8 0.1× 31 979
Xuke Hu Germany 13 77 0.4× 33 0.2× 95 0.6× 26 0.3× 14 0.2× 28 683
Yingwei Yan Singapore 12 26 0.1× 195 1.2× 79 0.5× 46 0.5× 5 0.1× 38 601
Hugo Barbosa United Kingdom 10 44 0.2× 116 0.7× 29 0.2× 103 1.1× 18 0.3× 24 1.1k
Russ Burtner United States 7 108 0.5× 76 0.5× 71 0.5× 51 0.5× 4 0.1× 11 464

Countries citing papers authored by Mingxiang Cai

Since Specialization
Citations

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

Fields of papers citing papers by Mingxiang Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingxiang Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Mingxiang Cai. A scholar is included among the top collaborators of Mingxiang Cai 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 Mingxiang Cai. Mingxiang Cai 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.
Mackey, Tim K., Raphael Cuomo, Qing Xu, et al.. (2025). Approach to Design and Evaluate Digital Tools to Enhance Young Adult Participation in Clinical Trials: Co-Design and Controlled Intercept Study. Journal of Medical Internet Research. 27. e70852–e70852.
2.
Tian, Feng, et al.. (2024). DOWN: Dynamic Order Weighted Network for Fine-grained Category Discovery. Knowledge-Based Systems. 293. 111666–111666. 1 indexed citations
3.
Tian, Feng, Haonan Lin, Mingxiang Cai, et al.. (2024). Generalized Category Discovery with Large Language Models in the Loop. 8653–8665. 2 indexed citations
4.
Xu, Qing, Matthew Nali, Jiawei Li, et al.. (2022). Impact of COVID-19 on HIV Prevention Access: A Multi-platform Social Media Infodemiology Study. AIDS and Behavior. 27(6). 1886–1896. 2 indexed citations
5.
Xu, Qing, Matthew Nali, Jiawei Li, et al.. (2022). Unsupervised Machine Learning to Detect and Characterize Barriers to Pre-exposure Prophylaxis Therapy: Multiplatform Social Media Study. SHILAP Revista de lepidopterología. 2(1). e35446–e35446. 8 indexed citations
6.
Xu, Qing, et al.. (2021). Digital Surveillance to Identify California Alternative and Emerging Tobacco Industry Policy Influence and Mobilization on Facebook. International Journal of Environmental Research and Public Health. 18(21). 11150–11150. 5 indexed citations
7.
Cuomo, Raphael, et al.. (2021). Physicians payment in the United States between 2014 and 2018: An analysis of the CMS Open Payments database. PLoS ONE. 16(6). e0252656–e0252656. 17 indexed citations
8.
Cuomo, Raphael, Vidya Purushothaman, Jiawei Li, Mingxiang Cai, & Tim K. Mackey. (2021). A longitudinal and geospatial analysis of COVID-19 tweets during the early outbreak period in the United States. BMC Public Health. 21(1). 793–793. 14 indexed citations
9.
Xu, Qing, et al.. (2021). Characterizing Vaping Industry Political Influence and Mobilization on Facebook: Social Network Analysis. Journal of Medical Internet Research. 23(10). e28069–e28069. 3 indexed citations
10.
Wang, Jia-Peng, Chongyu Liu, Lianwen Jin, et al.. (2021). Towards Robust Visual Information Extraction in Real World: New Dataset and Novel Solution. Proceedings of the AAAI Conference on Artificial Intelligence. 35(4). 2738–2745. 36 indexed citations
11.
Mackey, Tim K., Vidya Purushothaman, Jiawei Li, et al.. (2020). Machine Learning to Detect Self-Reporting of Symptoms, Testing Access, and Recovery Associated With COVID-19 on Twitter: Retrospective Big Data Infoveillance Study. JMIR Public Health and Surveillance. 6(2). e19509–e19509. 101 indexed citations
12.
Mackey, Tim K., Jiawei Li, Vidya Purushothaman, et al.. (2020). Big Data, Natural Language Processing, and Deep Learning to Detect and Characterize Illicit COVID-19 Product Sales: Infoveillance Study on Twitter and Instagram. JMIR Public Health and Surveillance. 6(3). e20794–e20794. 67 indexed citations
13.
Cai, Mingxiang, Mohammadreza Koopialipoor, Danial Jahed Armaghani, & Binh Thai Pham. (2020). Evaluating Slope Deformation of Earth Dams Due to Earthquake Shaking Using MARS and GMDH Techniques. Applied Sciences. 10(4). 1486–1486. 41 indexed citations
14.
Cai, Mingxiang, Neal Shah, Jiawei Li, et al.. (2020). Identification and characterization of tweets related to the 2015 Indiana HIV outbreak: A retrospective infoveillance study. PLoS ONE. 15(8). e0235150–e0235150. 18 indexed citations
15.
Xu, Qing, Neal Shah, Raphael Cuomo, et al.. (2020). Characterizing Weibo Social Media Posts From Wuhan, China During the Early Stages of the COVID-19 Pandemic: Qualitative Content Analysis. JMIR Public Health and Surveillance. 6(4). e24125–e24125. 29 indexed citations
16.
Wang, Tianwei, Yuanzhi Zhu, Lianwen Jin, et al.. (2020). Decoupled Attention Network for Text Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 12216–12224. 161 indexed citations
17.
Xu, Qing, Mingxiang Cai, & Tim K. Mackey. (2020). The illegal wildlife digital market: an analysis of Chinese wildlife marketing and sale on Facebook. Environmental Conservation. 47(3). 206–212. 45 indexed citations
18.
Cuomo, Raphael, Vidya Purushothaman, Jiawei Li, Mingxiang Cai, & Tim K. Mackey. (2020). Sub-national longitudinal and geospatial analysis of COVID-19 tweets. PLoS ONE. 15(10). e0241330–e0241330. 12 indexed citations
20.
Xu, Qing, Jiawei Li, Mingxiang Cai, & Tim K. Mackey. (2019). Use of Machine Learning to Detect Wildlife Product Promotion and Sales on Twitter. Frontiers in Big Data. 2. 28–28. 30 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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