Jinghui Mo
Impact in
- Signal Processing top 10%
- Data Management and Algorithms
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- Graph Theory and Algorithms
Papers in
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- Topic Modeling 1
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- Quantum Dots Synthesis And Properties 2
- ZnO doping and properties 1
- Co-authors
- Dongyan Zhao (3 shared papers)M. TAMER ÖZSU (1 shared paper)Lei Chen (1 shared paper)Lei Zou (1 shared paper)Qiming Yang (1 shared paper)Wen Yang (1 shared paper)Peizhi Yang (2 shared papers)Qunwei Tang (1 shared paper)
- Journals
- Proceedings of the VLDB Endowment (2 papers)Semiconductor Science and Technology (1 paper)Materials Science in Semiconductor Processing (1 paper)Applied Surface Science (1 paper)Synthetic Metals (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jinghui Mo
9 papers receiving 327 citations
Peers
Comparison fields: 5 of 39
- Signal Processing 57
- Computer Vision and Pattern Recognition 91
- Artificial Intelligence 128
- Computer Networks and Communications 80
- Materials Chemistry 153
Countries citing papers authored by Jinghui Mo
This map shows the geographic impact of Jinghui Mo'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 Jinghui Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinghui Mo more than expected).
Fields of papers citing papers by Jinghui Mo
This network shows the impact of papers produced by Jinghui Mo. 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 Jinghui Mo. The network helps show where Jinghui Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinghui Mo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 157 | |
| 2 | 2017 | 145 | |
| 3 | 2010 | 14 | |
| 4 | 2020 | 5 | |
| 5 | 2018 | 5 | |
| 6 | 2023 | 3 | |
| 7 | 2014 | 3 | |
| 8 | Investigation on the Blackened Matter on ITO Target Using XPS | 2009 | 1 |
| 9 | 2014 | 1 |
About Jinghui Mo
Jinghui Mo is a scholar working on Artificial Intelligence, Materials Chemistry, Computer Networks and Communications, Surfaces, Coatings and Films and Electrical and Electronic Engineering, having authored 9 papers that have together received 334 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (2 papers), Quantum Dots Synthesis And Properties (2 papers), Chalcogenide Semiconductor Thin Films (1 paper), ZnO doping and properties (1 paper), Organic Electronics and Photovoltaics (1 paper), Organic Light-Emitting Diodes Research (1 paper), Advanced Photocatalysis Techniques (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Signal Processing (57 citations), Computer Vision and Pattern Recognition (91 citations), Artificial Intelligence (128 citations), Computer Networks and Communications (80 citations) and Materials Chemistry (153 citations). Jinghui Mo has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Dongyan Zhao, M. TAMER ÖZSU, Lei Chen, Lei Zou, Qiming Yang, Wen Yang, Peizhi Yang, Qunwei Tang, Jialong Duan and Xueming Li. Their work appears in journals such as Proceedings of the VLDB Endowment, Semiconductor Science and Technology, Materials Science in Semiconductor Processing, Applied Surface Science and Synthetic Metals.
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.