Jidong Lv

90 total papers · 668 total citations
52 papers, 346 citations indexed

About

Jidong Lv is a scholar working on Industrial and Manufacturing Engineering, Software and Computational Theory and Mathematics. According to data from OpenAlex, Jidong Lv has authored 52 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Industrial and Manufacturing Engineering, 18 papers in Software and 14 papers in Computational Theory and Mathematics. Recurrent topics in Jidong Lv's work include Railway Systems and Energy Efficiency (19 papers), Software Testing and Debugging Techniques (16 papers) and Formal Methods in Verification (14 papers). Jidong Lv is often cited by papers focused on Railway Systems and Energy Efficiency (19 papers), Software Testing and Debugging Techniques (16 papers) and Formal Methods in Verification (14 papers). Jidong Lv collaborates with scholars based in China, United Kingdom and Saudi Arabia. Jidong Lv's co-authors include Tao Tang, Wentao Liu, Shuai Su, Ruoqing Li, Hongjie Liu, Haifeng Wang, Tangming Yuan, Chunhua Wang, Tuo Wang and Clive Roberts and has published in prestigious journals such as Sensors, IEEE Transactions on Intelligent Transportation Systems and Accident Analysis & Prevention.

In The Last Decade

Jidong Lv

47 papers receiving 342 citations

Author Peers

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

Author Last Decade Papers Cites
Jidong Lv 149 83 77 50 50 52 346
Chunhai Gao 137 0.9× 78 0.9× 58 0.8× 59 1.2× 48 1.0× 35 311
Wei Dong 69 0.5× 99 1.2× 68 0.9× 119 2.4× 29 0.6× 57 403
Jian Zhang 136 0.9× 74 0.9× 122 1.6× 105 2.1× 12 0.2× 49 365
Julie Beugin 113 0.8× 112 1.3× 81 1.1× 21 0.4× 18 0.4× 27 373
Byung‐Hun Lee 100 0.7× 51 0.6× 60 0.8× 103 2.1× 25 0.5× 25 355
Saideep Nannapaneni 68 0.5× 42 0.5× 18 0.2× 67 1.3× 20 0.4× 40 398
Aleš Janota 31 0.2× 48 0.6× 71 0.9× 87 1.7× 16 0.3× 53 305
Shuxin Ding 94 0.6× 31 0.4× 29 0.4× 45 0.9× 29 0.6× 40 316
Olivier Simonin 28 0.2× 52 0.6× 34 0.4× 86 1.7× 64 1.3× 50 399
Huifeng Wu 63 0.4× 25 0.3× 74 1.0× 111 2.2× 16 0.3× 51 373

Countries citing papers authored by Jidong Lv

Since Specialization
Citations

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

Fields of papers citing papers by Jidong Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jidong Lv

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