Jin Gao

572 citations
28 papers · 404 · h-index 11

Impact in

    • Smart Agriculture and AI
    • Leaf Properties and Growth Measurement
    • Plant Disease Management Techniques
    • Date Palm Research Studies
    • Greenhouse Technology and Climate Control
    • Spectroscopy and Chemometric Analyses

Papers in

Jin Gao

26 papers receiving 400 citations

Peers

Jin Gao
Comparison fields: 5 of 70
  • Plant Science 235
  • Analytical Chemistry 49
  • Mechanical Engineering 79
  • Industrial and Manufacturing Engineering 18
  • Computer Vision and Pattern Recognition 35
Replace Shumao Wang with:
Shumao Wang China
Yutaka Kaizu Japan
Yue Shen China
Du Chen China
Jiangming Jia China
Qiao Zhou China
Xianjun Yang China
Tanuja Sheorey India
Qingzhen Zhu China
Jin Gao relative to Shumao Wang China Shumao Wang's profile →
Citations per field
00.5×1.5×1.9×
Shumao Wang · 1×
Citations per year

Countries citing papers authored by Jin Gao

Since Specialization
Citations

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

Fields of papers citing papers by Jin Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jin Gao, 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 Jin Gao Line = papers co-authored together Jin Gao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202271
2 202051
3 201943
4 202237
5 202336
6 202332
7 202423
8 201820
9 202219
10 202315
11 202314
12 202310
13 20236
14 20204
15 20233
16 20143
17 20243
18 20233
19 20242
20 20252

About Jin Gao

Jin Gao is a scholar working on Plant Science, Electrical and Electronic Engineering, Control and Systems Engineering, Mechanics of Materials and Mechanical Engineering, having authored 28 papers that have together received 404 indexed citations. Recurring topics across this work include Smart Agriculture and AI (11 papers), Plant Disease Management Techniques (3 papers), Coal Properties and Utilization (2 papers), Spectroscopy and Chemometric Analyses (2 papers), Shape Memory Alloy Transformations (2 papers), Advanced Neural Network Applications (2 papers), Soil Mechanics and Vehicle Dynamics (2 papers) and Date Palm Research Studies (2 papers). The work is most often cited by research in Plant Science (235 citations), Analytical Chemistry (49 citations), Mechanical Engineering (79 citations), Industrial and Manufacturing Engineering (18 citations) and Computer Vision and Pattern Recognition (35 citations). Jin Gao has collaborated with scholars based in China, United Kingdom and Bangladesh. Frequent co-authors include Fan Zhang, Ting Yuan, Junxiong Zhang, Hui Guo, Junfeng Gao, Yang Chen, Hang Zhou, Risala Tasin Khan, Faisal Tariq and Kai‐Kit Wong. Their work appears in journals such as Computers and Electronics in Agriculture, Composite Structures, Expert Systems with Applications, International Journal of Computer Vision and Precision Agriculture.

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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