Haoxiang Wang

71 total papers · 2.1k total citations
43 papers, 1.5k citations indexed

About

Haoxiang Wang is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence. According to data from OpenAlex, Haoxiang Wang has authored 43 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 9 papers in Information Systems and 9 papers in Artificial Intelligence. Recurrent topics in Haoxiang Wang's work include Face and Expression Recognition (8 papers), Recommender Systems and Techniques (7 papers) and Emotion and Mood Recognition (7 papers). Haoxiang Wang is often cited by papers focused on Face and Expression Recognition (8 papers), Recommender Systems and Techniques (7 papers) and Emotion and Mood Recognition (7 papers). Haoxiang Wang collaborates with scholars based in China, United States and South Korea. Haoxiang Wang's co-authors include Chang Choi, Daming Li, Lianbing Deng, Brij B. Gupta, Xingming Zhang, Jingbin Wang, Khan Muhammad, Jamil Ahmad, Zhihui Li and Yang Li and has published in prestigious journals such as Langmuir, IEEE Transactions on Image Processing and IEEE Communications Magazine.

In The Last Decade

Haoxiang Wang

40 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Haoxiang Wang 641 407 306 246 167 43 1.5k
Fuqian Shi 441 0.7× 299 0.7× 167 0.5× 120 0.5× 106 0.6× 76 1.5k
Zahoor Jan 743 1.2× 606 1.5× 247 0.8× 135 0.5× 94 0.6× 50 1.7k
Hong-Han Shuai 731 1.1× 490 1.2× 107 0.3× 135 0.5× 122 0.7× 118 1.5k
Mohammad Alamgir Hossain 440 0.7× 717 1.8× 274 0.9× 651 2.6× 369 2.2× 73 1.8k
Rizgar R. Zebari 277 0.4× 427 1.0× 551 1.8× 671 2.7× 129 0.8× 40 1.7k
Gia Nhu Nguyen 361 0.6× 504 1.2× 583 1.9× 375 1.5× 210 1.3× 67 1.7k
Wei Zhang 771 1.2× 496 1.2× 112 0.4× 101 0.4× 64 0.4× 58 1.6k
Mohammed A. M. Sadeeq 170 0.3× 265 0.7× 393 1.3× 573 2.3× 132 0.8× 45 1.3k
Shaohua Teng 790 1.2× 548 1.3× 276 0.9× 178 0.7× 446 2.7× 130 1.7k
Akmalbek Abdusalomov 822 1.3× 299 0.7× 75 0.2× 69 0.3× 95 0.6× 76 1.7k

Countries citing papers authored by Haoxiang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Haoxiang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoxiang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Haoxiang Wang. A scholar is included among the top collaborators of Haoxiang Wang 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 Haoxiang Wang. Haoxiang Wang 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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2026