Wangding Zeng

15 total papers · 1.2k total citations
3 papers, 66 citations indexed

About

Wangding Zeng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Wangding Zeng has authored 3 papers receiving a total of 66 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Information Systems. Recurrent topics in Wangding Zeng's work include Expert finding and Q&A systems (1 paper), Machine Learning in Healthcare (1 paper) and Advanced Neural Network Applications (1 paper). Wangding Zeng is often cited by papers focused on Expert finding and Q&A systems (1 paper), Machine Learning in Healthcare (1 paper) and Advanced Neural Network Applications (1 paper). Wangding Zeng collaborates with scholars based in Canada and China. Wangding Zeng's co-authors include Yang Tang, Honggang Zhang, Chenggang Zhao, Yongle Wu, Chengqi Deng, Jiashi Li, Xingkai Yu, Huazuo Gao, Zhifang Sui and Zhenda Xie and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Wangding Zeng

3 papers receiving 65 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

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.

DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

2024 48 citations Damai Dai, Chengqi Deng et al. profile →

Author Peers

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

Author						Papers	Cites
Wangding Zeng	21	21	12	6	6	3	66
Mohammad Pezeshki	17 0.8×	25 1.2×	3 0.3×	4 0.7×	4 0.7×	3	52
Davide Testuggine	35 1.7×	59 2.8×	6 0.5×	3 0.5×	12 2.0×	2	85
Hongkun Yu	15 0.7×	80 3.8×	3 0.3×	7 1.2×	3 0.5×	3	110
Chen-Yu Lee	27 1.3×	24 1.1×	3 0.3×	3 0.5×	3 0.5×	2	50
Nicolás Della Penna	10 0.5×	21 1.0×	4 0.3×	36 6.0×	5 0.8×	3	72
Shelly Sheynin	25 1.2×	54 2.6×	5 0.4×		5 0.8×	3	93
Huazuo Gao	7 0.3×	18 0.9×		6 1.0×	4 0.7×	3	53
Karan Malik	13 0.6×	28 1.3×	2 0.2×	8 1.3×	12 2.0×	4	71
Jacqueline Pan	17 0.8×	16 0.8×	6 0.5×		6 1.0×	3	52
ZhenQiu Zhang	63 3.0×	12 0.6×	3 0.3×	5 0.8×	12 2.0×	5	76

Countries citing papers authored by Wangding Zeng

Since Specialization

Citations

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

Fields of papers citing papers by Wangding Zeng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wangding Zeng

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