Dawei Wei
Impact in
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- IoT and Edge/Fog Computing
- Environmental Chemistry top 10%
- Mine drainage and remediation techniques
Papers in
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- IoT and Edge/Fog Computing 9
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- Privacy-Preserving Technologies in Data 7
- Cryptography and Data Security 4
- Co-authors
- K. Osseo‐Asare (3 shared papers)Huansheng Ning (5 shared papers)Jianfeng Ma (10 shared papers)Ying‐Yi Hong (1 shared paper)Lei He (4 shared papers)Ning Xi (7 shared papers)Mahmoud Daneshmand (2 shared papers)Feifei Shi (2 shared papers)
- Journals
- Computer Networks (2 papers)Journal of The Electrochemical Society (2 papers)Colloids and Surfaces A Physicochemical and Engineering Aspects (2 papers)Journal of Alloys and Compounds (2 papers)IEEE Internet of Things Journal (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Dawei Wei
40 papers receiving 632 citations
Peers
Comparison fields: 5 of 114
- Computer Networks and Communications 196
- Environmental Chemistry 63
- Water Science and Technology 80
- Information Systems 105
- Aerospace Engineering 80
Countries citing papers authored by Dawei Wei
This map shows the geographic impact of Dawei Wei'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 Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawei Wei more than expected).
Fields of papers citing papers by Dawei Wei
This network shows the impact of papers produced by Dawei Wei. 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 Wei. The network helps show where Dawei Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Dawei Wei, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 47 | |
| 2 | 2016 | 46 | |
| 3 | 1996 | 40 | |
| 4 | 2020 | 40 | |
| 5 | 2021 | 38 | |
| 6 | 2018 | 37 | |
| 7 | 1997 | 36 | |
| 8 | 1995 | 35 | |
| 9 | 2009 | 33 | |
| 10 | 1997 | 31 | |
| 11 | 2022 | 26 | |
| 12 | 1999 | 22 | |
| 13 | 2017 | 20 | |
| 14 | 2022 | 18 | |
| 15 | 2021 | 16 | |
| 16 | 2022 | 16 | |
| 17 | 2018 | 14 | |
| 18 | 2019 | 13 | |
| 19 | 2017 | 12 | |
| 20 | 2019 | 11 |
About Dawei Wei
Dawei Wei is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Mechanical Engineering and Information Systems, having authored 42 papers that have together received 659 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (9 papers), Privacy-Preserving Technologies in Data (7 papers), UAV Applications and Optimization (5 papers), Metallurgical and Alloy Processes (5 papers), Cryptography and Data Security (4 papers), Metal Extraction and Bioleaching (4 papers), Intermetallics and Advanced Alloy Properties (4 papers) and Vehicular Ad Hoc Networks (VANETs) (3 papers). The work is most often cited by research in Computer Networks and Communications (196 citations), Environmental Chemistry (63 citations), Water Science and Technology (80 citations), Information Systems (105 citations) and Aerospace Engineering (80 citations). Dawei Wei has collaborated with scholars based in China, United States and Japan. Frequent co-authors include K. Osseo‐Asare, Huansheng Ning, Jianfeng Ma, Ying‐Yi Hong, Lei He, Ning Xi, Mahmoud Daneshmand, Feifei Shi, Saru Kumari and Shunkun Yang. Their work appears in journals such as Computer Networks, Journal of The Electrochemical Society, Colloids and Surfaces A Physicochemical and Engineering Aspects, Journal of Alloys and Compounds and IEEE Internet of Things 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.