Dawei Pan
Impact in
- Automotive Engineering top 5%
- Advanced Battery Technologies Research
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- Reliability and Maintenance Optimization
Papers in
-
- Smart Grid Energy Management 2
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- Energy Efficient Wireless Sensor Networks 2
- Co-authors
- Datong Liu (3 shared papers)Yu Peng (4 shared papers)Xiyuan Peng (4 shared papers)Jianbao Zhou (1 shared paper)Shaojun Wang (1 shared paper)Seong-Moo Yoo (2 shared papers)Dan Wang (4 shared papers)Zhe Song (2 shared papers)
- Journals
- Microelectronics Reliability (2 papers)ACM Transactions on Sensor Networks (1 paper)Measurement (1 paper)IEEE Transactions on Instrumentation and Measurement (1 paper)IEEE Sensors Journal (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Dawei Pan
19 papers receiving 465 citations
Peers
Comparison fields: 5 of 62
- Automotive Engineering 245
- Safety, Risk, Reliability and Quality 117
- Control and Systems Engineering 142
- Artificial Intelligence 129
- Electrical and Electronic Engineering 209
Countries citing papers authored by Dawei Pan
This map shows the geographic impact of Dawei 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 Dawei Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawei Pan more than expected).
Fields of papers citing papers by Dawei Pan
This network shows the impact of papers produced by Dawei 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 Dawei Pan. The network helps show where Dawei Pan may publish in the future.
Co-authors
The 23 scholars most cited alongside Dawei 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 228 | |
| 2 | 2005 | 68 | |
| 3 | 2022 | 67 | |
| 4 | 2015 | 25 | |
| 5 | 2020 | 14 | |
| 6 | 2013 | 13 | |
| 7 | 2016 | 11 | |
| 8 | 2017 | 11 | |
| 9 | 2013 | 11 | |
| 10 | 2020 | 10 | |
| 11 | 2005 | 6 | |
| 12 | 2016 | 6 | |
| 13 | 2006 | 3 | |
| 14 | 2017 | 2 | |
| 15 | 1999 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2016 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2015 | 1 | |
| 20 | 2003 | 0 |
About Dawei Pan
Dawei Pan is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Signal Processing, Safety, Risk, Reliability and Quality and Artificial Intelligence, having authored 21 papers that have together received 482 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (5 papers), Advanced Battery Technologies Research (4 papers), Time Series Analysis and Forecasting (4 papers), Anomaly Detection Techniques and Applications (4 papers), Energy Efficient Wireless Sensor Networks (2 papers), Fault Detection and Control Systems (2 papers), Smart Grid Energy Management (2 papers) and Machine Fault Diagnosis Techniques (2 papers). The work is most often cited by research in Automotive Engineering (245 citations), Safety, Risk, Reliability and Quality (117 citations), Control and Systems Engineering (142 citations), Artificial Intelligence (129 citations) and Electrical and Electronic Engineering (209 citations). Dawei Pan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Datong Liu, Yu Peng, Xiyuan Peng, Jianbao Zhou, Shaojun Wang, Seong-Moo Yoo, Dan Wang, Zhe Song, Benkuan Wang and Mingwei Xu. Their work appears in journals such as Microelectronics Reliability, ACM Transactions on Sensor Networks, Measurement, IEEE Transactions on Instrumentation and Measurement and IEEE Sensors Journal.
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.