Honghai Wu
Impact in
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- IoT and Edge/Fog Computing
- Opportunistic and Delay-Tolerant Networks
- Mobile Ad Hoc Networks
- Transportation top 5%
Papers in
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- Opportunistic and Delay-Tolerant Networks 28
- Caching and Content Delivery 21
- Mobile Ad Hoc Networks 15
- Network Security and Intrusion Detection 8
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- Vehicular Ad Hoc Networks (VANETs) 19
- Co-authors
- Ling Xing (60 shared papers)Huahong Ma (51 shared papers)Huadóng Ma (11 shared papers)Wangyang Wei (1 shared paper)Baofeng Ji (10 shared papers)Guoqiang Zheng (9 shared papers)Ping Xie (9 shared papers)Xintong Wang (1 shared paper)
- Journals
- Sensors (8 papers)IEEE Access (6 papers)IEEE Internet of Things Journal (6 papers)Electronics (4 papers)Wireless Networks (4 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Honghai Wu
71 papers receiving 873 citations
Peers
Comparison fields: 5 of 76
- Computer Networks and Communications 424
- Transportation 77
- Building and Construction 121
- Artificial Intelligence 268
- Information Systems 144
Countries citing papers authored by Honghai Wu
This map shows the geographic impact of Honghai 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 Honghai Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Honghai Wu more than expected).
Fields of papers citing papers by Honghai Wu
This network shows the impact of papers produced by Honghai 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 Honghai Wu. The network helps show where Honghai Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Honghai Wu, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 134 | |
| 2 | 2019 | 111 | |
| 3 | 2022 | 51 | |
| 4 | 2020 | 41 | |
| 5 | 2021 | 39 | |
| 6 | 2020 | 34 | |
| 7 | 2019 | 33 | |
| 8 | 2023 | 28 | |
| 9 | 2019 | 28 | |
| 10 | 2022 | 26 | |
| 11 | 2021 | 23 | |
| 12 | 2020 | 21 | |
| 13 | 2021 | 20 | |
| 14 | 2014 | 20 | |
| 15 | 2019 | 19 | |
| 16 | 2019 | 18 | |
| 17 | 2023 | 16 | |
| 18 | 2022 | 14 | |
| 19 | 2016 | 14 | |
| 20 | 2023 | 11 |
About Honghai Wu
Honghai Wu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Sociology and Political Science and Information Systems, having authored 85 papers that have together received 902 indexed citations. Recurring topics across this work include Opportunistic and Delay-Tolerant Networks (28 papers), Caching and Content Delivery (21 papers), Vehicular Ad Hoc Networks (VANETs) (19 papers), Mobile Ad Hoc Networks (15 papers), Privacy-Preserving Technologies in Data (14 papers), Complex Network Analysis Techniques (9 papers), Spam and Phishing Detection (9 papers) and Network Security and Intrusion Detection (8 papers). The work is most often cited by research in Computer Networks and Communications (424 citations), Transportation (77 citations), Building and Construction (121 citations), Artificial Intelligence (268 citations) and Information Systems (144 citations). Honghai Wu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Ling Xing, Huahong Ma, Huadóng Ma, Wangyang Wei, Baofeng Ji, Guoqiang Zheng, Ping Xie, Xintong Wang, Pengcheng Zhao and Feifei Gao. Their work appears in journals such as Sensors, IEEE Access, IEEE Internet of Things Journal, Electronics and Wireless Networks.
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.