Hongye Jin

11 total papers · 606 total citations
2 papers, 229 citations indexed

About

Hongye Jin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Health Informatics. According to data from OpenAlex, Hongye Jin has authored 2 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Health Informatics. Recurrent topics in Hongye Jin's work include Privacy-Preserving Technologies in Data (2 papers), Topic Modeling (1 paper) and Adversarial Robustness in Machine Learning (1 paper). Hongye Jin is often cited by papers focused on Privacy-Preserving Technologies in Data (2 papers), Topic Modeling (1 paper) and Adversarial Robustness in Machine Learning (1 paper). Hongye Jin collaborates with scholars based in United States. Hongye Jin's co-authors include Xia Hu, Ruixiang Tang, Shaochen Zhong, Qizhang Feng, Xiaotian Han, Bing Yin, Jingfeng Yang, Haoming Jiang, Curtis Wigington and Mengnan Du and has published in prestigious journals such as ACM Transactions on Knowledge Discovery from Data.

In The Last Decade

Hongye Jin

2 papers receiving 220 citations

Hit Papers

Harnessing the Power of L... 2024 2026 2024 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
    2024 225 citations Jingfeng Yang, Hongye Jin et al. ACM Transactions on Knowledge Discovery from Data profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hongye Jin 123 39 28 23 20 2 229
Shaochen Zhong 132 1.1× 40 1.0× 27 1.0× 27 1.2× 22 1.1× 5 261
K. R. Chowdhary 120 1.0× 34 0.9× 20 0.7× 17 0.7× 21 1.1× 8 248
Y. Supriya 162 1.3× 30 0.8× 41 1.5× 20 0.9× 17 0.8× 10 311
G. Deepti Raj 116 0.9× 19 0.5× 40 1.4× 13 0.6× 21 1.1× 10 250
Roy Wedge 160 1.3× 31 0.8× 11 0.4× 24 1.0× 38 1.9× 2 285
Shanmukha Guttula 110 0.9× 29 0.7× 7 0.3× 21 0.9× 21 1.1× 6 234
Mahsa Rezaei 106 0.9× 48 1.2× 29 1.0× 53 2.3× 24 1.2× 6 300
Hima Patel 110 0.9× 29 0.7× 7 0.3× 21 0.9× 21 1.1× 8 234
Negar Maleki 135 1.1× 40 1.0× 18 0.6× 14 0.6× 33 1.6× 9 298
Samuel Jenkins 180 1.5× 18 0.5× 39 1.4× 6 0.3× 24 1.2× 2 260

Countries citing papers authored by Hongye Jin

Since Specialization
Citations

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

Fields of papers citing papers by Hongye Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongye Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Hongye Jin. A scholar is included among the top collaborators of Hongye 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 Hongye Jin. Hongye Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026