Jing Tian

128 total papers · 1.5k total citations
73 papers, 1.1k citations indexed

About

Jing Tian is a scholar working on Mechanical Engineering, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Jing Tian has authored 73 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Mechanical Engineering, 28 papers in Control and Systems Engineering and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Jing Tian's work include Gear and Bearing Dynamics Analysis (22 papers), Machine Fault Diagnosis Techniques (18 papers) and Tribology and Lubrication Engineering (13 papers). Jing Tian is often cited by papers focused on Gear and Bearing Dynamics Analysis (22 papers), Machine Fault Diagnosis Techniques (18 papers) and Tribology and Lubrication Engineering (13 papers). Jing Tian collaborates with scholars based in China, United States and Singapore. Jing Tian's co-authors include Michael Pecht, Carlos Morillo, Michael H. Azarian, C.M. Wang, S. Swaddiwudhipong, Fengling Zhang, Yanting Ai, Cheng‐Wei Fei, Matthieu Lancry and B. Poumellec and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Geoscience and Remote Sensing and Optics Express.

In The Last Decade

Jing Tian

64 papers receiving 1.1k citations

Hit Papers

Motor Bearing Fault Detec... 2015 2026 2018 2022 2015 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Jing Tian 618 535 330 172 164 73 1.1k
T.P. Leung 844 1.4× 381 0.7× 216 0.7× 155 0.9× 203 1.2× 61 1.4k
Chih-Chun Cheng 305 0.5× 544 1.0× 237 0.7× 258 1.5× 302 1.8× 80 1.2k
Mehdi Behzad 547 0.9× 608 1.1× 307 0.9× 133 0.8× 495 3.0× 76 1.4k
Wenliao Du 547 0.9× 353 0.7× 300 0.9× 103 0.6× 162 1.0× 107 963
Bingyan Chen 979 1.6× 716 1.3× 281 0.9× 176 1.0× 189 1.2× 59 1.3k
Goutam Chakraborty 483 0.8× 481 0.9× 143 0.4× 114 0.7× 135 0.8× 64 1.2k
Jianglong Li 489 0.8× 467 0.9× 163 0.5× 134 0.8× 236 1.4× 75 969
Beibei Sun 697 1.1× 623 1.2× 279 0.8× 133 0.8× 165 1.0× 75 1.4k
Ning Zhou 283 0.5× 715 1.3× 266 0.8× 133 0.8× 97 0.6× 86 1.2k
Fei Meng 239 0.4× 381 0.7× 203 0.6× 242 1.4× 140 0.9× 91 1.1k

Countries citing papers authored by Jing Tian

Since Specialization
Citations

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

Fields of papers citing papers by Jing Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Tian

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