Tao Jin

109 total papers · 1.0k total citations
65 papers, 696 citations indexed

About

Tao Jin is a scholar working on Computer Vision and Pattern Recognition, Civil and Structural Engineering and Artificial Intelligence. According to data from OpenAlex, Tao Jin has authored 65 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 16 papers in Civil and Structural Engineering and 15 papers in Artificial Intelligence. Recurrent topics in Tao Jin's work include Speech and Audio Processing (10 papers), Multimodal Machine Learning Applications (10 papers) and Infrastructure Maintenance and Monitoring (10 papers). Tao Jin is often cited by papers focused on Speech and Audio Processing (10 papers), Multimodal Machine Learning Applications (10 papers) and Infrastructure Maintenance and Monitoring (10 papers). Tao Jin collaborates with scholars based in China, Hong Kong and United States. Tao Jin's co-authors include Xiao‐Wei Ye, Chuan‐Zhi Dong, Zhou Zhao, Pengyu Chen, Yunmin Chen, Zhongfei Zhang, Yingming Li, Yang Ding, Siyu Huang and Bin Chen and has published in prestigious journals such as Chemical Engineering Journal, IEEE Transactions on Geoscience and Remote Sensing and Construction and Building Materials.

In The Last Decade

Tao Jin

56 papers receiving 683 citations

Author Peers

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

Author						Papers	Cites
Tao Jin	346	204	105	88	80	65	696
Zujun Yu	191 0.6×	156 0.8×	68 0.6×	51 0.6×	191 2.4×	60	567
Liqiang Zhu	160 0.5×	152 0.7×	95 0.9×	189 2.1×	143 1.8×	71	743
Zhaozheng Hu	193 0.6×	271 1.3×	36 0.3×	99 1.1×	65 0.8×	63	678
Juan G. Victores	331 1.0×	138 0.7×	50 0.5×	43 0.5×	151 1.9×	47	723
Shengchun Wang	168 0.5×	106 0.5×	53 0.5×	86 1.0×	218 2.7×	64	608
Yundong Li	146 0.4×	273 1.3×	131 1.2×	53 0.6×	69 0.9×	35	725
Amir Hossein Rezaie	228 0.7×	118 0.6×	68 0.6×	82 0.9×	92 1.1×	52	591
Sang-Ho Lee	256 0.7×	44 0.2×	123 1.2×	34 0.4×	57 0.7×	72	618
Young Shik Moon	204 0.6×	309 1.5×	31 0.3×	42 0.5×	64 0.8×	59	621
Qingqing Cao	194 0.6×	78 0.4×	78 0.7×	59 0.7×	79 1.0×	50	565

Countries citing papers authored by Tao Jin

Since Specialization

Citations

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

Fields of papers citing papers by Tao Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tao Jin

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