Teng Long

26 total papers · 598 total citations
23 papers, 451 citations indexed

About

Teng Long is a scholar working on Mechanical Engineering, Control and Systems Engineering and Organic Chemistry. According to data from OpenAlex, Teng Long has authored 23 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Mechanical Engineering, 6 papers in Control and Systems Engineering and 5 papers in Organic Chemistry. Recurrent topics in Teng Long's work include Welding Techniques and Residual Stresses (6 papers), Industrial Vision Systems and Defect Detection (4 papers) and Cyclopropane Reaction Mechanisms (4 papers). Teng Long is often cited by papers focused on Welding Techniques and Residual Stresses (6 papers), Industrial Vision Systems and Defect Detection (4 papers) and Cyclopropane Reaction Mechanisms (4 papers). Teng Long collaborates with scholars based in China and Canada. Teng Long's co-authors include Junfeng Fan, Lei Yang, En Li, Zize Liang, Fengshui Jing, Min Tan, Zaojun Fang, Quan‐Zhong Liu, Wen‐Dao Chu and Bo Huang and has published in prestigious journals such as Organic Letters, AIAA Journal and IEEE Transactions on Industrial Informatics.

In The Last Decade

Teng Long

23 papers receiving 435 citations

Author Peers

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

Author Last Decade Papers Cites
Teng Long 230 149 125 76 65 23 451
Shibin Yin 221 1.0× 250 1.7× 49 0.4× 122 1.6× 58 0.9× 22 443
Dashan Zhang 140 0.6× 160 1.1× 45 0.4× 19 0.3× 25 0.4× 35 463
Runquan Xiao 375 1.6× 123 0.8× 171 1.4× 47 0.6× 47 0.7× 29 485
Wei Li 84 0.4× 69 0.5× 40 0.3× 20 0.3× 40 0.6× 30 503
Amruta Rout 229 1.0× 109 0.7× 130 1.0× 114 1.5× 34 0.5× 26 406
Jody Muelaner 312 1.4× 115 0.8× 204 1.6× 45 0.6× 42 0.6× 29 454
Luofeng Xie 228 1.0× 92 0.6× 60 0.5× 49 0.6× 38 0.6× 32 477
Qiushi Bi 199 0.9× 84 0.6× 86 0.7× 88 1.2× 50 0.8× 29 408
Fan Jia 126 0.5× 248 1.7× 44 0.4× 11 0.1× 127 2.0× 36 485
Wei‐Yao Chiu 42 0.2× 221 1.5× 244 2.0× 22 0.3× 16 0.2× 25 427

Countries citing papers authored by Teng Long

Since Specialization
Citations

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

Fields of papers citing papers by Teng Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teng Long

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