Junhua Wu
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Topics
- IoT and Edge/Fog Computing (15 papers)Blockchain Technology Applications and Security (13 papers)Privacy-Preserving Technologies in Data (9 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsComputer Vision and Pattern Recognition
- Partner nations
- ChinaHong KongNew Zealand
In The Last Decade
Junhua Wu
37 papers receiving 383 citations
Peers
Comparison fields: 5 of 56
- Computer Networks and Communications 295
- Information Systems 184
- Electrical and Electronic Engineering 122
- Artificial Intelligence 67
- Computer Vision and Pattern Recognition 55
Countries citing papers authored by Junhua Wu
This map shows the geographic impact of Junhua Wu'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 Junhua Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junhua Wu more than expected).
Fields of papers citing papers by Junhua Wu
This network shows the impact of papers produced by Junhua Wu. 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 Junhua Wu. The network helps show where Junhua Wu may publish in the future.
Co-authorship network of co-authors of Junhua Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Junhua Wu. A scholar is included among the top collaborators of Junhua Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Junhua Wu. Junhua Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 6 | |
| 8 | 6 | |
| 9 | 4 | |
| 10 | 27 | |
| 11 | 11 | |
| 12 | 5 | |
| 13 | 2 | |
| 14 | 15 | |
| 15 | DV-Hop Localization Algorithm Based on Minimum Mean Square Error in Internet of Things. | 0 |
| 16 | 16 | |
| 17 | 14 | |
| 18 | 6 | |
| 19 | 3 | |
| 20 | Medical Device Software Survive Period Process——IEC/DIS 62304 Standard Application | 1 |
About Junhua Wu
Junhua Wu is a scholar working on Computer Networks and Communications, Information Systems and Medical Laboratory Technology, having authored 38 papers that have together received 401 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (15 papers), Blockchain Technology Applications and Security (13 papers) and Privacy-Preserving Technologies in Data (9 papers). The work is most often cited by research in Computer Networks and Communications (295 citations), Information Systems (184 citations) and Computer Vision and Pattern Recognition (55 citations). Junhua Wu has collaborated with scholars based in China, Hong Kong and New Zealand. Frequent co-authors include Guangshun Li, Shuaishuai Zhao, Lu Chen, Xiaoxiao Liu, Ruili Wang, Chenglong Li, Haili Yu, Wanting Ji, Dandan Lin and Chunmei Ma. Their work appears in journals such as IEEE Access, Sensors and Information Sciences.
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.