Haokun Wen

38 total papers · 494 total citations
21 papers, 279 citations indexed

About

Haokun Wen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Haokun Wen has authored 21 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Haokun Wen's work include Multimodal Machine Learning Applications (10 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Image Retrieval and Classification Techniques (6 papers). Haokun Wen is often cited by papers focused on Multimodal Machine Learning Applications (10 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Image Retrieval and Classification Techniques (6 papers). Haokun Wen collaborates with scholars based in China, Australia and Singapore. Haokun Wen's co-authors include Xuemeng Song, Liqiang Nie, Weili Guan, Xin Yang, Xiaojun Chang, Chung‐Hsing Yeh, Yibing Zhan, Fuli Feng, Ling‐Yu Duan and Jie Nie and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Advanced Functional Materials and IEEE Transactions on Image Processing.

In The Last Decade

Haokun Wen

18 papers receiving 274 citations

Author Peers

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

Author						Papers	Cites
Haokun Wen	169	74	46	30	26	21	279
Kun Zhang	78 0.5×	92 1.2×	48 1.0×	61 2.0×	9 0.3×	20	324
Xinyu Zhang	26 0.2×	73 1.0×	33 0.7×	18 0.6×	29 1.1×	21	258
Yuan Zhang	131 0.8×	47 0.6×	72 1.6×	34 1.1×	19 0.7×	38	306
Yang Wang	143 0.8×	50 0.7×	34 0.7×	86 2.9×	5 0.2×	11	299
S Maheswaran	57 0.3×	46 0.6×	69 1.5×	40 1.3×	5 0.2×	31	286
Siping Liu	70 0.4×	37 0.5×	49 1.1×	15 0.5×	14 0.5×	31	313
Xuan Wang	142 0.8×	37 0.5×	35 0.8×	12 0.4×	47 1.8×	30	256
Fereshteh Falah Chamasemani	78 0.5×	37 0.5×	76 1.7×	27 0.9×	5 0.2×	22	266
Weixin Wang	87 0.5×	71 1.0×	18 0.4×	16 0.5×	3 0.1×	25	286
Youjia Zhang	44 0.3×	47 0.6×	43 0.9×	29 1.0×	60 2.3×	31	283

Countries citing papers authored by Haokun Wen

Since Specialization

Citations

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

Fields of papers citing papers by Haokun Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haokun Wen

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