Yi Pan
Impact in
- Electrochemistry top 10%
- Electrochemical Analysis and Applications
-
- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
Papers in
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- Advanced Wireless Network Optimization 3
-
- Natural Language Processing Techniques 3
- Domain Adaptation and Few-Shot Learning 2
- Topic Modeling 2
- Co-authors
- Rong Yuan (2 shared papers)Lu Zhang (1 shared paper)Dong Hui (1 shared paper)Yan Zhang (1 shared paper)Lei Sun (1 shared paper)Pingya Luo (1 shared paper)Chi Zhang (1 shared paper)Wensheng Wang (1 shared paper)
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (2 papers)Frontiers in Plant Science (1 paper)Corrosion Science (1 paper)Journal of Alloys and Compounds (1 paper)Wireless Communications and Mobile Computing (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yi Pan
28 papers receiving 681 citations
Peers
Comparison fields: 5 of 121
- Electrochemistry 64
- Management Science and Operations Research 74
- Health Informatics 7
- Environmental Engineering 76
- Signal Processing 54
Countries citing papers authored by Yi Pan
This map shows the geographic impact of Yi Pan'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 Yi Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Pan more than expected).
Fields of papers citing papers by Yi Pan
This network shows the impact of papers produced by Yi Pan. 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 Yi Pan. The network helps show where Yi Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Pan, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 145 | |
| 2 | 2018 | 99 | |
| 3 | 2011 | 77 | |
| 4 | 2019 | 73 | |
| 5 | 2005 | 37 | |
| 6 | 2016 | 36 | |
| 7 | 2019 | 35 | |
| 8 | 2019 | 31 | |
| 9 | 2012 | 19 | |
| 10 | 2024 | 19 | |
| 11 | 2012 | 16 | |
| 12 | 2023 | 15 | |
| 13 | 2021 | 12 | |
| 14 | 2016 | 11 | |
| 15 | 2022 | 10 | |
| 16 | 2025 | 10 | |
| 17 | 2000 | 10 | |
| 18 | 2009 | 8 | |
| 19 | 2020 | 7 | |
| 20 | 2025 | 6 |
About Yi Pan
Yi Pan is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Mechanical Engineering, Computer Networks and Communications and Plant Science, having authored 31 papers that have together received 698 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (3 papers), Wireless Communication Networks Research (3 papers), Advanced Wireless Network Optimization (3 papers), Plant-Microbe Interactions and Immunity (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Topic Modeling (2 papers), Plant Disease Resistance and Genetics (2 papers) and Forecasting Techniques and Applications (2 papers). The work is most often cited by research in Electrochemistry (64 citations), Management Science and Operations Research (74 citations), Health Informatics (7 citations), Environmental Engineering (76 citations) and Signal Processing (54 citations). Yi Pan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Rong Yuan, Lu Zhang, Dong Hui, Yan Zhang, Lei Sun, Pingya Luo, Chi Zhang, Wensheng Wang, Jian Pei and Heng Huang. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Frontiers in Plant Science, Corrosion Science, Journal of Alloys and Compounds and Wireless Communications and Mobile Computing.
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.