Jianfeng Chi

54 total papers · 855 total citations
22 papers, 416 citations indexed

About

Jianfeng Chi is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Sociology and Political Science. According to data from OpenAlex, Jianfeng Chi has authored 22 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 4 papers in Electrical and Electronic Engineering and 3 papers in Sociology and Political Science. Recurrent topics in Jianfeng Chi's work include Imbalanced Data Classification Techniques (5 papers), Adversarial Robustness in Machine Learning (5 papers) and Privacy-Preserving Technologies in Data (4 papers). Jianfeng Chi is often cited by papers focused on Imbalanced Data Classification Techniques (5 papers), Adversarial Robustness in Machine Learning (5 papers) and Privacy-Preserving Technologies in Data (4 papers). Jianfeng Chi collaborates with scholars based in United States, China and United Kingdom. Jianfeng Chi's co-authors include Jinghua Feng, Xiang Ao, Qing He, Yang Liu, Hao Yang, Kai-Wei Chang, Wasi Uddin Ahmad, Yuan Tian, Kuan Li and Ting Liang and has published in prestigious journals such as Chinese Physics Letters, arXiv (Cornell University) and Proceedings of the ACM Web Conference 2022.

In The Last Decade

Jianfeng Chi

20 papers receiving 404 citations

Hit Papers

Pick and Choose: A GNN-ba... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Jianfeng Chi 349 133 59 56 37 22 416
Abdallah Yousif 271 0.8× 270 2.0× 41 0.7× 36 0.6× 14 0.4× 13 463
Yuexiang Xie 331 0.9× 143 1.1× 29 0.5× 22 0.4× 6 0.2× 25 432
Ross W. Gayler 251 0.7× 82 0.6× 49 0.8× 19 0.3× 6 0.2× 26 408
Rajiv Khanna 342 1.0× 76 0.6× 27 0.5× 20 0.4× 14 0.4× 17 483
Yuxiang Chen 328 0.9× 294 2.2× 100 1.7× 21 0.4× 34 0.9× 24 446
Assef Jafar 201 0.6× 182 1.4× 64 1.1× 39 0.7× 3 0.1× 15 396
Ivan Koychev 319 0.9× 178 1.3× 31 0.5× 119 2.1× 18 0.5× 50 429
Tao Yang 373 1.1× 116 0.9× 40 0.7× 37 0.7× 24 0.6× 20 491
Saeed Samet 287 0.8× 126 0.9× 55 0.9× 40 0.7× 94 2.5× 37 452
Raghavendra Udupa 268 0.8× 58 0.4× 30 0.5× 27 0.5× 11 0.3× 28 392

Countries citing papers authored by Jianfeng Chi

Since Specialization
Citations

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

Fields of papers citing papers by Jianfeng Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianfeng Chi

This figure shows the co-authorship network connecting the top 25 collaborators of Jianfeng Chi. A scholar is included among the top collaborators of Jianfeng Chi 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 Jianfeng Chi. Jianfeng Chi 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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