Junming Yin

548 total citations
23 papers, 301 citations indexed

About

Junming Yin is a scholar working on Artificial Intelligence, Molecular Biology and Statistical and Nonlinear Physics. According to data from OpenAlex, Junming Yin has authored 23 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Molecular Biology and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Junming Yin's work include Complex Network Analysis Techniques (5 papers), Bioinformatics and Genomic Networks (4 papers) and Genetic Associations and Epidemiology (3 papers). Junming Yin is often cited by papers focused on Complex Network Analysis Techniques (5 papers), Bioinformatics and Genomic Networks (4 papers) and Genetic Associations and Epidemiology (3 papers). Junming Yin collaborates with scholars based in United States, China and Thailand. Junming Yin's co-authors include Dong Guo, Aram Galstyan, Linhong Zhu, Greg Ver Steeg, Eric P. Xing, Weifeng Li, Michael I. Jordan, Yun S. Song, Qirong Ho and Judie A. Howrylak and has published in prestigious journals such as Bioinformatics, PLoS ONE and Information Systems Research.

In The Last Decade

Junming Yin

22 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junming Yin United States 7 194 151 57 39 39 23 301
Indika Kahanda United States 7 102 0.5× 110 0.7× 83 1.5× 65 1.7× 16 0.4× 36 289
Ian X. Y. Leung United Kingdom 5 77 0.4× 193 1.3× 109 1.9× 25 0.6× 19 0.5× 6 331
Federico Musciotto Italy 9 47 0.2× 178 1.2× 47 0.8× 16 0.4× 4 0.1× 22 320
Fréderic Godin Belgium 7 285 1.5× 50 0.3× 80 1.4× 107 2.7× 7 0.2× 18 436
René Pfitzner Switzerland 6 44 0.2× 274 1.8× 32 0.6× 32 0.8× 8 0.2× 6 395
Dónal Doyle Ireland 5 170 0.9× 276 1.8× 34 0.6× 46 1.2× 3 0.1× 9 421
Mahmoudreza Babaei Germany 9 76 0.4× 234 1.5× 17 0.3× 40 1.0× 4 0.1× 13 392
Koon-Kiu Yan United States 5 70 0.4× 118 0.8× 68 1.2× 67 1.7× 19 0.5× 5 235
Raymond Heatherly United States 11 400 2.1× 62 0.4× 16 0.3× 169 4.3× 16 0.4× 19 582
Rémy Cazabet France 8 61 0.3× 231 1.5× 26 0.5× 38 1.0× 5 0.1× 24 307

Countries citing papers authored by Junming Yin

Since Specialization
Citations

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

Fields of papers citing papers by Junming Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junming Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Junming Yin. A scholar is included among the top collaborators of Junming Yin 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 Junming Yin. Junming Yin 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.
2.
Yin, Junming, et al.. (2022). Bandit Learning in Many-to-One Matching Markets. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 2088–2097. 4 indexed citations
3.
Yin, Junming, et al.. (2022). Thompson Sampling for Bandit Learning in Matching Markets. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 3164–3170. 5 indexed citations
4.
Kun, Wu, et al.. (2022). Cognitive ability and household portfolio diversification: Evidence from China. Pacific-Basin Finance Journal. 75. 101840–101840. 3 indexed citations
5.
Yin, Junming, et al.. (2021). Learning from Crowdsourced Multi-labeling: A Variational Bayesian Approach. Information Systems Research. 32. 752–773. 1 indexed citations
6.
Tariq, Waqas, Muhammad Usman, Adeel Tariq, et al.. (2021). Bank maturity, income diversification, and bank stability. Journal of Business Economics and Management. 22(6). 1492–1511. 15 indexed citations
7.
Yin, Junming, et al.. (2020). Relaxed Multivariate Bernoulli Distribution and Its Applications to Deep Generative Models. Uncertainty in Artificial Intelligence. 500–509. 2 indexed citations
8.
Ho, Qirong, Junming Yin, & Eric P. Xing. (2018). On Triangular versus Edge Representations — Towards Scalable Modeling of Networks. Figshare. 25. 2132–2140. 2 indexed citations
9.
Dai, Wei, Jinliang Wei, Jin Kyu Kim, et al.. (2018). Petuum: A Framework for Iterative-Convergent Distributed ML. Figshare. 5 indexed citations
10.
Yin, Junming, Qirong Ho, & Eric P. Xing. (2018). A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks. PubMed. 2013. 422–430. 7 indexed citations
11.
Zhu, Linhong, Dong Guo, Junming Yin, Greg Ver Steeg, & Aram Galstyan. (2017). Scalable temporal latent space inference for link prediction in dynamic social networks (extended abstract). UA Campus Repository (The University of Arizona). 57–58. 5 indexed citations
12.
Li, Weifeng, et al.. (2017). Supervised Topic Modeling Using Hierarchical Dirichlet Process-Based Inverse Regression: Experiments on E-Commerce Applications. IEEE Transactions on Knowledge and Data Engineering. 30(6). 1192–1205. 19 indexed citations
13.
Zhu, Linhong, Dong Guo, Junming Yin, Greg Ver Steeg, & Aram Galstyan. (2016). Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks. IEEE Transactions on Knowledge and Data Engineering. 28(10). 2765–2777. 169 indexed citations
14.
Ho, Qirong, Junming Yin, & Eric P. Xing. (2016). Latent space inference of internet-scale networks. Journal of Machine Learning Research. 17(1). 2756–2796. 4 indexed citations
15.
Li, Weifeng, Junming Yin, & Hsinchun Chen. (2016). Identifying high quality carding services in underground economy using nonparametric supervised topic model. International Conference on Information Systems. 3 indexed citations
16.
Yin, Junming, et al.. (2016). A time-varying group sparse additive model for genome-wide association studies of dynamic complex traits. Bioinformatics. 32(19). 2903–2910. 13 indexed citations
17.
Xing, Eric P., et al.. (2014). GWAS in a Box: Statistical and Visual Analytics of Structured Associations via GenAMap. PLoS ONE. 9(6). e97524–e97524. 5 indexed citations
18.
19.
Yin, Junming, Michael I. Jordan, & Yun S. Song. (2009). Joint estimation of gene conversion rates and mean conversion tract lengths from population SNP data. Bioinformatics. 25(12). i231–i239. 19 indexed citations
20.
Yin, Junming, Niko Beerenwinkel, Jörg Rahnenführer, & Thomas Lengauer. (2006). Model Selection for Mixtures of Mutagenetic Trees. Statistical Applications in Genetics and Molecular Biology. 5(1). Article17–Article17. 6 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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