Weichong Yin

16 total papers · 550 total citations
6 papers, 256 citations indexed

About

Weichong Yin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Weichong Yin has authored 6 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 1 paper in Sociology and Political Science. Recurrent topics in Weichong Yin's work include Multimodal Machine Learning Applications (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Topic Modeling (3 papers). Weichong Yin is often cited by papers focused on Multimodal Machine Learning Applications (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Topic Modeling (3 papers). Weichong Yin collaborates with scholars based in China. Weichong Yin's co-authors include Haifeng Wang, Yu Sun, Hao Tian, Hua Wu, F. Richard Yu, Shikun Feng, Jiaxiang Liu, Hua Wu, Xuyi Chen and Lanxin Li and has published in prestigious journals such as Proceedings of the 30th ACM International Conference on Multimedia and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Weichong Yin

6 papers receiving 250 citations

Author Peers

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

Author						Papers	Cites
Weichong Yin	194	173	16	12	11	6	256
Sharan Narang	104 0.5×	190 1.1×	6 0.4×	21 1.8×	2 0.2×	7	265
Joshua V. Dillon	77 0.4×	146 0.8×	4 0.3×	18 1.5×	3 0.3×	9	206
Leigang Qu	250 1.3×	147 0.8×	5 0.3×	15 1.3×	7 0.6×	11	297
Noel Codella	253 1.3×	182 1.1×	2 0.1×	6 0.5×	3 0.3×	9	321
Raphael Gontijo Lopes	174 0.9×	175 1.0×	5 0.3×	7 0.6×		4	259
Chris Ying	145 0.7×	189 1.1×	4 0.3×	9 0.8×	1 0.1×	6	258
Diane Bouchacourt	106 0.5×	126 0.7×	3 0.2×	6 0.5×	3 0.3×	6	193
Devendra Singh Sachan	118 0.6×	284 1.6×	10 0.6×	29 2.4×		11	325
Beddhu Murali	176 0.9×	100 0.6×	23 1.4×	21 1.8×	2 0.2×	9	320
Nikunj Saunshi	62 0.3×	140 0.8×	5 0.3×	12 1.0×		8	180

Countries citing papers authored by Weichong Yin

Since Specialization

Citations

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

Fields of papers citing papers by Weichong Yin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weichong Yin

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