Jin Mao

911 total citations
56 papers, 595 citations indexed

About

Jin Mao is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Jin Mao has authored 56 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 14 papers in Molecular Biology and 11 papers in Information Systems. Recurrent topics in Jin Mao's work include Topic Modeling (14 papers), Biomedical Text Mining and Ontologies (12 papers) and Complex Network Analysis Techniques (11 papers). Jin Mao is often cited by papers focused on Topic Modeling (14 papers), Biomedical Text Mining and Ontologies (12 papers) and Complex Network Analysis Techniques (11 papers). Jin Mao collaborates with scholars based in China, United States and France. Jin Mao's co-authors include Kun Lü, Gang Li, Zhichao Ba, Sijing Chen, Shiyun Wang, Lu Xiao, Yujie Cao, Gang Li, Gang Li and Ming Yi and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMC Bioinformatics and Technological Forecasting and Social Change.

In The Last Decade

Jin Mao

50 papers receiving 571 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin Mao China 16 207 131 130 127 91 56 595
Wei Lu China 16 409 2.0× 108 0.8× 185 1.4× 194 1.5× 95 1.0× 97 941
Guang Yu China 17 216 1.0× 154 1.2× 155 1.2× 321 2.5× 198 2.2× 83 933
Marko A. Rodriguez United States 12 168 0.8× 62 0.5× 204 1.6× 160 1.3× 176 1.9× 29 644
Yoo Kyung Jeong South Korea 9 165 0.8× 113 0.9× 85 0.7× 66 0.5× 57 0.6× 17 432
Xiaolin Shi United States 14 171 0.8× 109 0.8× 203 1.6× 50 0.4× 256 2.8× 24 728
Giovanni Colavizza Netherlands 13 234 1.1× 69 0.5× 233 1.8× 172 1.4× 40 0.4× 61 814
Michael Fire Israel 14 273 1.3× 131 1.0× 267 2.1× 60 0.5× 247 2.7× 32 770
Tehmina Amjad Pakistan 18 308 1.5× 73 0.6× 358 2.8× 191 1.5× 167 1.8× 43 962
Jana Diesner United States 15 376 1.8× 211 1.6× 124 1.0× 87 0.7× 280 3.1× 82 976
Philipp Mayr Germany 15 231 1.1× 59 0.5× 266 2.0× 200 1.6× 35 0.4× 100 776

Countries citing papers authored by Jin Mao

Since Specialization
Citations

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

Fields of papers citing papers by Jin Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Mao. A scholar is included among the top collaborators of Jin Mao 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 Jin Mao. Jin Mao 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.
Wu, Zhixiang, et al.. (2025). Study on the predictability of new topics of scholars: A machine learning-based approach using knowledge networks. Journal of Informetrics. 19(1). 101637–101637. 1 indexed citations
2.
Mao, Jin, et al.. (2025). Quantifying the impact of digital technology on enterprise processes using LLM-based causal claim networks. Journal of Informetrics. 19(3). 101713–101713.
3.
Mao, Jin, et al.. (2025). Measuring knowledge complexity in the biomedical domain based on a question-method knowledge representation model. Journal of Informetrics. 19(2). 101667–101667. 1 indexed citations
5.
Mao, Jin, et al.. (2024). A co-citation approach to the analysis on the interaction between scientific and technological knowledge. Journal of Informetrics. 18(3). 101548–101548. 5 indexed citations
6.
Mao, Jin, et al.. (2024). Decoding the writing styles of disciplines: A large-scale quantitative analysis. Information Processing & Management. 61(4). 103718–103718. 5 indexed citations
7.
Mao, Jin, et al.. (2024). Discovering weak signals of emerging topics with a triple-dimensional framework. Information Processing & Management. 61(5). 103793–103793. 1 indexed citations
8.
Mao, Jin, et al.. (2024). Characterizing structure of cross-disciplinary impact of global disciplines: A perspective of the Hierarchy of Science. Journal of Data and Information Science. 9(1). 53–81. 1 indexed citations
9.
Chen, Xi, et al.. (2023). The knowledge linkage between science and technology influences corporate technological innovation: Evidence from scientific publications and patents. Technological Forecasting and Social Change. 198. 122985–122985. 17 indexed citations
10.
Mao, Jin, et al.. (2023). Comparing the Writing Styles of Multiple Disciplines: A Large‐Scale Quantitative Analysis. Proceedings of the Association for Information Science and Technology. 60(1). 941–943. 1 indexed citations
11.
Mao, Jin, et al.. (2023). Predicting online participation and adoption of autism unproven interventions: a case study of dietary interventions. Behaviour and Information Technology. 44(10). 2213–2225. 1 indexed citations
12.
Mao, Jin, et al.. (2021). Sentiment Classification of Image-Text Information with Multi-Layer Semantic Fusion. Shuju fenxi yu zhishi faxian. 5(6). 103–114. 5 indexed citations
13.
Mao, Jin, et al.. (2021). Finding citations for PubMed: a large-scale comparison between five freely available bibliographic data sources. Scientometrics. 126(12). 9519–9542. 20 indexed citations
14.
Li, Gang, Sijing Chen, Jin Mao, & Yansong Gu. (2019). Spatio-Temporal Comparison of Microblog Trending Topics on Natural Disasters. Shuju fenxi yu zhishi faxian. 3(11). 1–15. 1 indexed citations
15.
Chen, Sijing, et al.. (2019). Uncovering sentiment and retweet patterns of disaster-related tweets from a spatiotemporal perspective – A case study of Hurricane Harvey. Telematics and Informatics. 47. 101326–101326. 43 indexed citations
16.
Mao, Jin, et al.. (2019). Radar small/mini target detection technology in strong clutter environment. The Journal of Engineering. 2019(20). 7130–7133. 2 indexed citations
17.
Lü, Kun, Jin Mao, & Gang Li. (2017). Toward effective automated weighted subject indexing: A comparison of different approaches in different environments. Journal of the Association for Information Science and Technology. 69(1). 121–133. 1 indexed citations
19.
Yao, Qiang, et al.. (2014). Emerging medical informatics research trends detection based on MeSH terms. Informatics for Health and Social Care. 40(3). 210–228. 12 indexed citations
20.
Mao, Jin, et al.. (2013). Fast Duplicate Detection for Chinese Texts Based on Semantic Fingerprint. Shuju fenxi yu zhishi faxian. 29(9). 41–47.

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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