Hua Yang

135 total papers · 1.1k total citations
76 papers, 495 citations indexed

About

Hua Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Hua Yang has authored 76 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Computer Vision and Pattern Recognition, 26 papers in Artificial Intelligence and 13 papers in Signal Processing. Recurrent topics in Hua Yang's work include Video Surveillance and Tracking Methods (41 papers), Anomaly Detection Techniques and Applications (19 papers) and Human Pose and Action Recognition (18 papers). Hua Yang is often cited by papers focused on Video Surveillance and Tracking Methods (41 papers), Anomaly Detection Techniques and Applications (19 papers) and Human Pose and Action Recognition (18 papers). Hua Yang collaborates with scholars based in China, United States and Canada. Hua Yang's co-authors include Shibao Zheng, Kenneth Rose, Yawen Fan, Hang Su, Qin Zhou, Zhiyong Gao, Shuang Wu, Sha Xin Wei, Zehao Chen and Ji Zhu and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and Sensors.

In The Last Decade

Hua Yang

66 papers receiving 480 citations

Author Peers

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

Author						Papers	Cites
Hua Yang	433	165	124	72	54	76	495
Yuehu Liu	398 0.9×	69 0.4×	96 0.8×	41 0.6×	23 0.4×	74	489
Bin Yan	310 0.7×	110 0.7×	60 0.5×	15 0.2×	39 0.7×	60	479
Hao Pan	102 0.2×	134 0.8×	96 0.8×	52 0.7×	55 1.0×	72	456
Haopeng Li	270 0.6×	50 0.3×	142 1.1×	15 0.2×	66 1.2×	38	405
Jie Wu	415 1.0×	239 1.4×	29 0.2×	26 0.4×	60 1.1×	52	530
Haoji Hu	306 0.7×	124 0.8×	38 0.3×	44 0.6×	37 0.7×	55	509
Chi‐Chia Sun	292 0.7×	54 0.3×	90 0.7×	45 0.6×	64 1.2×	70	471
Yong Ma	235 0.5×	55 0.3×	36 0.3×	19 0.3×	169 3.1×	55	531
Shenghui Wang	93 0.2×	164 1.0×	68 0.5×	18 0.3×	43 0.8×	52	444
Mikołaj Leszczuk	310 0.7×	89 0.5×	100 0.8×	13 0.2×	39 0.7×	56	419

Countries citing papers authored by Hua Yang

Since Specialization

Citations

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

Fields of papers citing papers by Hua Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Yang

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