Anfeng He

2.0k total citations
4 papers, 19 citations indexed

About

Anfeng He is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Pharmacology. According to data from OpenAlex, Anfeng He has authored 4 papers receiving a total of 19 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Pharmacology. Recurrent topics in Anfeng He's work include Advanced Image and Video Retrieval Techniques (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Smart Agriculture and AI (1 paper). Anfeng He is often cited by papers focused on Advanced Image and Video Retrieval Techniques (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Smart Agriculture and AI (1 paper). Anfeng He collaborates with scholars based in China and Australia. Anfeng He's co-authors include Xinmei Tian, Shu‐Tao Xia, Bowen Zhao, Chen Chen, Dacheng Tao, Xu Shen and Shaoyan Sun and has published in prestigious journals such as arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Anfeng He

4 papers receiving 19 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anfeng He China 3 6 6 6 4 2 4 19
Shengyuan Hu United States 4 5 0.8× 12 2.0× 7 1.2× 6 27
Xudong Wei China 2 11 1.8× 6 1.0× 3 0.5× 1 0.3× 3 14
R. P. Guo China 3 5 0.8× 4 0.7× 2 0.3× 5 14
Xinyu Yang China 2 3 0.5× 2 0.3× 15 2.5× 2 0.5× 3 22
Tai Hu China 3 9 1.5× 4 0.7× 2 0.3× 1 0.3× 7 17
L. C. Schwardt South Africa 3 4 0.7× 7 1.2× 2 0.3× 7 16
Tanima Chatterjee United States 3 5 0.8× 2 0.3× 3 0.5× 5 21
Hugo Santana Brazil 3 3 0.5× 13 2.2× 3 0.5× 4 22

Countries citing papers authored by Anfeng He

Since Specialization
Citations

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

Fields of papers citing papers by Anfeng He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anfeng He

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

All Works

4 of 4 papers shown
1.
Zhao, Bowen, et al.. (2023). Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 3561–3569. 4 indexed citations
3.
He, Anfeng & Xinmei Tian. (2016). Multi-organ plant identification with multi-column deep convolutional neural networks. 2020–2025. 11 indexed citations
4.
Shen, Xu, Xinmei Tian, Anfeng He, Shaoyan Sun, & Dacheng Tao. (2016). Transform-Invariant Convolutional Neural Networks for Image Classification and Search. arXiv (Cornell University). 1345–1354. 2 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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