Dunren Che
Impact in
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- IoT and Edge/Fog Computing
- Advanced Database Systems and Queries
Papers in
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- Advanced Database Systems and Queries 15
- Distributed and Parallel Computing Systems 10
- IoT and Edge/Fog Computing 4
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- Semantic Web and Ontologies 11
- AI in cancer detection 4
- Co-authors
- Mejdl Safran (26 shared papers)Ali Daud (3 shared papers)Wahab Khan (1 shared paper)Sultan Alfarhood (20 shared papers)M. F. Mridha (18 shared papers)Md. Mohsin Kabir (2 shared papers)Muhammad Ahmad (1 shared paper)Muhammad Shahid Iqbal Malik (1 shared paper)
- Journals
- IEEE Access (4 papers)Scientific Reports (3 papers)Frontiers in Plant Science (2 papers)The VLDB Journal (1 paper)PeerJ Computer Science (1 paper)
- Partner nations
- United StatesSaudi ArabiaBangladesh
In The Last Decade
Dunren Che
61 papers receiving 800 citations
Peers
Comparison fields: 5 of 96
- Computer Science Applications 65
- Computer Networks and Communications 262
- Information Systems 249
- Artificial Intelligence 312
- Signal Processing 104
Countries citing papers authored by Dunren Che
This map shows the geographic impact of Dunren Che'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 Dunren Che with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dunren Che more than expected).
Fields of papers citing papers by Dunren Che
This network shows the impact of papers produced by Dunren Che. 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 Dunren Che. The network helps show where Dunren Che may publish in the future.
Co-authors
The 25 scholars most cited alongside Dunren Che, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 127 | |
| 2 | 2023 | 79 | |
| 3 | 2014 | 63 | |
| 4 | 2014 | 44 | |
| 5 | 2006 | 37 | |
| 6 | 2015 | 33 | |
| 7 | 2019 | 32 | |
| 8 | 2016 | 31 | |
| 9 | 2017 | 30 | |
| 10 | 2013 | 23 | |
| 11 | 2018 | 22 | |
| 12 | 2023 | 21 | |
| 13 | 2012 | 20 | |
| 14 | 2023 | 19 | |
| 15 | 2018 | 18 | |
| 16 | 2024 | 17 | |
| 17 | 2024 | 17 | |
| 18 | 2023 | 14 | |
| 19 | 2023 | 11 | |
| 20 | 2023 | 11 |
About Dunren Che
Dunren Che is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Signal Processing and Computer Vision and Pattern Recognition, having authored 69 papers that have together received 835 indexed citations. Recurring topics across this work include Data Management and Algorithms (17 papers), Advanced Database Systems and Queries (15 papers), Cloud Computing and Resource Management (12 papers), Semantic Web and Ontologies (11 papers), Distributed and Parallel Computing Systems (10 papers), Scientific Computing and Data Management (5 papers), IoT and Edge/Fog Computing (4 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Computer Science Applications (65 citations), Computer Networks and Communications (262 citations), Information Systems (249 citations), Artificial Intelligence (312 citations) and Signal Processing (104 citations). Dunren Che has collaborated with scholars based in United States, Saudi Arabia and Bangladesh. Frequent co-authors include Mejdl Safran, Ali Daud, Wahab Khan, Sultan Alfarhood, M. F. Mridha, Md. Mohsin Kabir, Muhammad Ahmad, Muhammad Shahid Iqbal Malik, Karl Aberer and Shiyong Lu. Their work appears in journals such as IEEE Access, Scientific Reports, Frontiers in Plant Science, The VLDB Journal and PeerJ Computer Science.
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.