Weichao Ding

770 citations
37 papers · 489 · h-index 11

Impact in

Papers in

Weichao Ding

31 papers receiving 474 citations

Peers

Weichao Ding
Comparison fields: 5 of 48
  • Computer Networks and Communications 339
  • Information Systems 188
  • Computer Vision and Pattern Recognition 117
  • Computer Science Applications 19
  • Artificial Intelligence 78
Replace Fei Luo with:
Fei Luo China
Jianhang Tang China
Shihong Hu China
Han Xiao China
Genya Ishigaki United States
Arsham Farshad United Kingdom
Peng Lin China
Xiantao Jiang China
Jiadong Yu United Kingdom
Weichao Ding relative to Fei Luo China Fei Luo's profile →
Citations per field
00.5×1.6×
Fei Luo · 1×
Citations per year

Countries citing papers authored by Weichao Ding

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Weichao Ding Line = papers co-authored together Weichao Ding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019164
2 202356
3 202042
4 202034
5 201627
6 202221
7 201815
8
Task Scheduling and Resource Allocation Based on Ant-Colony Optimization and Deep Reinforcement Learning
201914
9 202313
10 202013
11 202210
12 20229
13 20238
14 20237
15 20246
16 20246
17 20255
18 20245
19 20185
20 20245

About Weichao Ding

Weichao Ding is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 37 papers that have together received 489 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 (4 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Blockchain Technology Applications and Security (3 papers), Multimodal Machine Learning Applications (3 papers) and Advanced Image Fusion Techniques (3 papers). The work is most often cited by research in Computer Networks and Communications (339 citations), Information Systems (188 citations), Computer Vision and Pattern Recognition (117 citations), Computer Science Applications (19 citations) and Artificial Intelligence (78 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, Liangxiu Han, Chunhua Gu and Yaohui Chang. Their work appears in journals such as Knowledge-Based Systems, Applied Sciences, Future Generation Computer Systems, IEEE Access and Expert Systems with Applications.

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.

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