Tianyu Wang

131 total papers · 1.2k total citations
73 papers, 759 citations indexed

About

Tianyu Wang is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Tianyu Wang has authored 73 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 8 papers in Automotive Engineering and 7 papers in Control and Systems Engineering. Recurrent topics in Tianyu Wang's work include Digital Media Forensic Detection (6 papers), Video Surveillance and Tracking Methods (4 papers) and Advanced Steganography and Watermarking Techniques (4 papers). Tianyu Wang is often cited by papers focused on Digital Media Forensic Detection (6 papers), Video Surveillance and Tracking Methods (4 papers) and Advanced Steganography and Watermarking Techniques (4 papers). Tianyu Wang collaborates with scholars based in China, United States and Hong Kong. Tianyu Wang's co-authors include Andrew T. Campbell, Emiliano Miluzzo, Suli Zou, Zhongjing Ma, Zheng Huang, Chi‐Wing Fu, Yi Lu Murphey, Qiang Zhou, Rongzhen Yan and Mark G. Humphrey and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Energy & Environmental Science.

In The Last Decade

Tianyu Wang

57 papers receiving 734 citations

Author Peers

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

Author						Papers	Cites
Tianyu Wang	223	111	98	91	90	73	759
Lei Zhao	190 0.9×	39 0.4×	60 0.6×	136 1.5×	53 0.6×	59	751
Fitri Utaminingrum	250 1.1×	59 0.5×	173 1.8×	30 0.3×	48 0.5×	110	775
Mohamed Hédi Bedoui	232 1.0×	265 2.4×	34 0.3×	154 1.7×	189 2.1×	124	910
Jiaming Zhang	319 1.4×	55 0.5×	36 0.4×	89 1.0×	139 1.5×	33	820
Junfeng Chen	125 0.6×	88 0.8×	40 0.4×	171 1.9×	219 2.4×	36	880
Xubo Yang	287 1.3×	86 0.8×	294 3.0×	47 0.5×	129 1.4×	52	726
Ke Xu	48 0.2×	117 1.1×	45 0.5×	83 0.9×	182 2.0×	60	846
Jincai Chen	161 0.7×	50 0.5×	15 0.2×	51 0.6×	36 0.4×	82	667
Nikolaos S. Tachos	64 0.3×	111 1.0×	107 1.1×	22 0.2×	95 1.1×	74	781
Jingxin Liu	185 0.8×	195 1.8×	28 0.3×	45 0.5×	105 1.2×	71	893

Countries citing papers authored by Tianyu Wang

Since Specialization

Citations

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

Fields of papers citing papers by Tianyu Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianyu Wang

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