Jingbin Li

74 papers receiving 987 citations

Peers

Jingbin Li
Comparison fields: 5 of 123
  • Analytical Chemistry 141
  • Plant Science 313
  • Catalysis 55
  • Small Animals 53
  • Filtration and Separation 14
Replace José Ignacio Robla with:
José Ignacio Robla Spain
Saulo Martiello Mastelini Brazil
Qingling Duan China
Bruce Grieve United Kingdom
Lijia Xu China
Xiaoqiang Du China
Ximing Li China
Md Sultan Mahmud United States
Chengcheng Chen China
Santosh Kumar Pitla United States
Jingbin Li relative to José Ignacio Robla Spain José Ignacio Robla's profile →
Citations per field
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José Ignacio Robla · 1×
Citations per year

Countries citing papers authored by Jingbin Li

Since Specialization
Citations

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

Fields of papers citing papers by Jingbin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jingbin Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jingbin Li Line = papers co-authored together Jingbin Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021130
2 201960
3 200656
4 201951
5 202247
6 202134
7 202230
8 202324
9 202124
10 202423
11 202322
12 202222
13 202419
14 202218
15 202118
16 202217
17 202217
18 202117
19 201816
20 202115

About Jingbin Li

Jingbin Li is a scholar working on Plant Science, Atmospheric Science, Mechanical Engineering, Computer Vision and Pattern Recognition and Food Science, having authored 81 papers that have together received 1.0k indexed citations. Recurring topics across this work include Smart Agriculture and AI (19 papers), Remote Sensing and Land Use (10 papers), Tree Root and Stability Studies (7 papers), Spectroscopy and Chemometric Analyses (6 papers), Industrial Vision Systems and Defect Detection (6 papers), Plant Molecular Biology Research (5 papers), Ziziphus Jujuba Studies and Applications (5 papers) and Animal Behavior and Welfare Studies (4 papers). The work is most often cited by research in Analytical Chemistry (141 citations), Plant Science (313 citations), Catalysis (55 citations), Small Animals (53 citations) and Filtration and Separation (14 citations). Jingbin Li has collaborated with scholars based in China, Türkiye and Australia. Frequent co-authors include Jing Nie, Shuangyin Liu, Yang Li, Longqin Xu, Liang Cao, Zhiyuan Zhang, Chuanheng Sun, Lu Wang, Sezai Erċışlı and Hailiang Zhang. Their work appears in journals such as Computers and Electronics in Agriculture, Frontiers in Plant Science, Animals, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and International journal of agricultural and biological engineering.

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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