Jin Ning

1.1k citations
59 papers · 808 · h-index 16

Impact in

    • Spectroscopy and Chemometric Analyses
    • Catalytic C–H Functionalization Methods
    • Synthesis and Catalytic Reactions
    • Sulfur-Based Synthesis Techniques

Papers in

Jin Ning

52 papers receiving 776 citations

Peers

Jin Ning
Comparison fields: 5 of 100
  • Analytical Chemistry 68
  • Organic Chemistry 193
  • Computer Vision and Pattern Recognition 121
  • Artificial Intelligence 165
  • Media Technology 37
Replace Satoshi Yamamoto with:
Satoshi Yamamoto Japan
Qiuhua Wang China
Ji Zhang China
Asish Bera India
Xiaoyan Cheng China
Quan Zhou China
P. Bock United States
Junwei Wang China
Jin Ning relative to Satoshi Yamamoto Japan Satoshi Yamamoto's profile →
Citations per field
00.5×2.6×
Satoshi Yamamoto · 1×
Citations per year

Countries citing papers authored by Jin Ning

Since Specialization
Citations

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

Fields of papers citing papers by Jin Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201465
2 201061
3 201449
4 201543
5 202043
6 201942
7 200941
8 201537
9 201932
10 201029
11 201829
12 201124
13 201924
14 202422
15 201522
16 202321
17 200515
18 202214
19 201814
20 200913

About Jin Ning

Jin Ning is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Organic Chemistry, having authored 59 papers that have together received 808 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (6 papers), Advanced MEMS and NEMS Technologies (6 papers), Advanced Wireless Communication Technologies (5 papers), Data Mining Algorithms and Applications (5 papers), UAV Applications and Optimization (4 papers), Remote Sensing in Agriculture (4 papers), Acoustic Wave Resonator Technologies (4 papers) and Image Enhancement Techniques (4 papers). The work is most often cited by research in Analytical Chemistry (68 citations), Organic Chemistry (193 citations), Computer Vision and Pattern Recognition (121 citations), Artificial Intelligence (165 citations) and Media Technology (37 citations). Jin Ning has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wei Wang, C. A. Young, Honglin Zhang, Changduo Pan, Chengjian Zhu, Leiting Chen, Dongyan Zhang, Yixiang Cheng, Farzin Mokhtarian and Chunyan Gu. Their work appears in journals such as Remote Sensing, Drones, Journal of Semiconductors, Neural Processing Letters 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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