Weichao Ding
Impact in
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- IoT and Edge/Fog Computing
- Age of Information Optimization
- Caching and Content Delivery
- Information Systems top 5%
- Cloud Computing and Resource Management
- Blockchain Technology Applications and Security
Papers in
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- IoT and Edge/Fog Computing 12
- Age of Information Optimization 5
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- Cloud Computing and Resource Management 7
- Blockchain Technology Applications and Security 3
- Co-authors
- Fei Luo (22 shared papers)Chunhua Gu (16 shared papers)Haifeng Lu (9 shared papers)Xinping Liu (1 shared paper)Zhe Wang (5 shared papers)Jing Zhang (3 shared papers)Shuai Zheng (2 shared papers)Chunhua Gu (5 shared papers)
- Journals
- Knowledge-Based Systems (3 papers)IEEE Access (2 papers)Expert Systems with Applications (2 papers)Applied Sciences (2 papers)Future Generation Computer Systems (2 papers)
- Partner nations
- ChinaChileUnited Kingdom
In The Last Decade
Weichao Ding
30 papers receiving 453 citations
Peers
Comparison fields: 5 of 48
- Computer Networks and Communications 337
- Information Systems 186
- Computer Vision and Pattern Recognition 113
- Computer Science Applications 19
- Artificial Intelligence 77
Countries citing papers authored by Weichao Ding
This map shows the geographic impact of Weichao Ding'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 Weichao Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weichao Ding more than expected).
Fields of papers citing papers by Weichao Ding
This network shows the impact of papers produced by Weichao Ding. 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 Weichao Ding. The network helps show where Weichao Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Weichao Ding, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 162 | |
| 2 | 2023 | 53 | |
| 3 | 2020 | 42 | |
| 4 | 2020 | 34 | |
| 5 | 2016 | 27 | |
| 6 | 2022 | 19 | |
| 7 | 2018 | 15 | |
| 8 | Task Scheduling and Resource Allocation Based on Ant-Colony Optimization and Deep Reinforcement Learning | 2019 | 14 |
| 9 | 2020 | 14 | |
| 10 | 2023 | 12 | |
| 11 | 2022 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2024 | 6 | |
| 16 | 2024 | 5 | |
| 17 | 2018 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2024 | 4 |
About Weichao Ding
Weichao Ding is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 36 papers that have together received 474 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (12 papers), Cloud Computing and Resource Management (7 papers), Age of Information Optimization (5 papers), Metaheuristic Optimization Algorithms Research (3 papers), Advanced Multi-Objective Optimization Algorithms (3 papers), Multimodal Machine Learning Applications (3 papers), Blockchain Technology Applications and Security (3 papers) and Advanced Image Fusion Techniques (3 papers). The work is most often cited by research in Computer Networks and Communications (337 citations), Information Systems (186 citations), Computer Vision and Pattern Recognition (113 citations), Computer Science Applications (19 citations) and Artificial Intelligence (77 citations). Weichao Ding has collaborated with scholars based in China, Chile and United Kingdom. Frequent co-authors include Fei Luo, Chunhua Gu, Haifeng Lu, Xinping Liu, Zhe Wang, Jing Zhang, Shuai Zheng, Chunhua Gu, Liangxiu Han and Yaohui Chang. Their work appears in journals such as Knowledge-Based Systems, IEEE Access, Expert Systems with Applications, Applied Sciences and Future Generation Computer Systems.
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.