Jin Ning
Impact in
- Analytical Chemistry top 10%
- Spectroscopy and Chemometric Analyses
- Organic Chemistry top 10%
- Catalytic C–H Functionalization Methods
- Synthesis and Catalytic Reactions
- Sulfur-Based Synthesis Techniques
Papers in
-
- Image Enhancement Techniques 4
- Co-authors
- Wei Wang (5 shared papers)C. A. Young (3 shared papers)Honglin Zhang (3 shared papers)Changduo Pan (3 shared papers)Chengjian Zhu (3 shared papers)Dongyan Zhang (4 shared papers)Leiting Chen (5 shared papers)Zhengyang Xu (3 shared papers)
- Journals
- Remote Sensing (3 papers)Neural Processing Letters (2 papers)International journal of agricultural and biological engineering (2 papers)Journal of Semiconductors (2 papers)Drones (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jin Ning
53 papers receiving 802 citations
Peers
Comparison fields: 5 of 102
- Analytical Chemistry 68
- Organic Chemistry 193
- Computer Vision and Pattern Recognition 120
- Artificial Intelligence 168
- Media Technology 37
Countries citing papers authored by Jin Ning
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
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.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 66 | |
| 2 | 2010 | 58 | |
| 3 | 2014 | 49 | |
| 4 | 2019 | 44 | |
| 5 | 2020 | 44 | |
| 6 | 2015 | 43 | |
| 7 | 2009 | 39 | |
| 8 | 2015 | 37 | |
| 9 | 2019 | 34 | |
| 10 | 2024 | 31 | |
| 11 | 2018 | 30 | |
| 12 | 2010 | 29 | |
| 13 | 2015 | 24 | |
| 14 | 2011 | 24 | |
| 15 | 2019 | 23 | |
| 16 | 2023 | 22 | |
| 17 | 2022 | 16 | |
| 18 | 2009 | 14 | |
| 19 | 2023 | 14 | |
| 20 | 2005 | 14 |
About Jin Ning
Jin Ning is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Electrical and Electronic Engineering, Artificial Intelligence and Media Technology, having authored 60 papers that have together received 833 indexed citations. Recurring topics across this work include Advanced MEMS and NEMS Technologies (6 papers), Anomaly Detection Techniques and Applications (6 papers), Remote Sensing in Agriculture (5 papers), Advanced Wireless Communication Technologies (5 papers), Data Mining Algorithms and Applications (5 papers), UAV Applications and Optimization (4 papers), Advanced Image Fusion Techniques (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 (120 citations), Artificial Intelligence (168 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, Dongyan Zhang, Leiting Chen, Zhengyang Xu, Yixiang Cheng and Farzin Mokhtarian. Their work appears in journals such as Remote Sensing, Neural Processing Letters, International journal of agricultural and biological engineering, Journal of Semiconductors and Drones.
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.