Beichen Zhang

40 total papers · 1.9k total citations
18 papers, 278 citations indexed

About

Beichen Zhang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Beichen Zhang has authored 18 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 2 papers in Biomedical Engineering. Recurrent topics in Beichen Zhang's work include Multimodal Machine Learning Applications (5 papers), Topic Modeling (4 papers) and Human Pose and Action Recognition (4 papers). Beichen Zhang is often cited by papers focused on Multimodal Machine Learning Applications (5 papers), Topic Modeling (4 papers) and Human Pose and Action Recognition (4 papers). Beichen Zhang collaborates with scholars based in China, United States and Japan. Beichen Zhang's co-authors include Zheng-Jun Zha, Qingming Huang, Liang Li, Shuhui Wang, Ji-Rong Wen, Kun Zhou, Xin Zhao, Shijie Yang, Li Su and Zhang Xiong and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Sensors.

In The Last Decade

Beichen Zhang

17 papers receiving 272 citations

Author Peers

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

Author						Papers	Cites
Beichen Zhang	175	142	13	10	10	18	278
Jiayan Qiu	133 0.8×	143 1.0×	14 1.1×	9 0.9×	6 0.6×	11	212
Ying Zhang	199 1.1×	82 0.6×	11 0.8×	7 0.7×	9 0.9×	19	293
Vikas Verma	177 1.0×	119 0.8×	17 1.3×	6 0.6×	7 0.7×	13	237
Jiechao Xiong	86 0.5×	91 0.6×	9 0.7×	15 1.5×	12 1.2×	17	212
Thalaiyasingam Ajanthan	225 1.3×	239 1.7×	8 0.6×	8 0.8×	5 0.5×	19	330
Soham De	138 0.8×	92 0.6×	9 0.7×	9 0.9×	4 0.4×	22	236
Jiajun Liu	81 0.5×	166 1.2×	11 0.8×	16 1.6×	4 0.4×	18	243
Xinyue Liu	104 0.6×	133 0.9×	24 1.8×	7 0.7×	37 3.7×	22	213
Huangjie Zheng	86 0.5×	77 0.5×	21 1.6×	13 1.3×	6 0.6×	10	170
Junyi Li	170 1.0×	86 0.6×	29 2.2×	8 0.8×	4 0.4×	15	256

Countries citing papers authored by Beichen Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Beichen Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beichen Zhang

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