Hao Ran
Impact in
-
- IoT and Edge/Fog Computing
- Developmental Neuroscience top 10%
Papers in
-
- Advanced MIMO Systems Optimization 13
- Advanced Wireless Communication Technologies 7
- IoT Networks and Protocols 5
-
- IoT and Edge/Fog Computing 19
- Software-Defined Networks and 5G 6
- Energy Efficient Wireless Sensor Networks 5
- Co-authors
- Kim Fung Tsang (27 shared papers)Ayman Radwan (33 shared papers)Hui-Yun Chang (3 shared papers)Tzu‐Kang Sang (3 shared papers)Chung Kit Wu (18 shared papers)Kwok Tai Chui (13 shared papers)Hongxu Zhu (6 shared papers)Nen‐Fu Huang (1 shared paper)
In The Last Decade
Hao Ran
74 papers receiving 1.5k citations
Hao Ran's Hit Papers
Peers
Comparison fields: 5 of 146
- Computer Networks and Communications 453
- Developmental Neuroscience 45
- Neurology 90
- Biological Psychiatry 23
- Health Information Management 43
Countries citing papers authored by Hao Ran
This map shows the geographic impact of Hao Ran'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 Hao Ran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Ran more than expected).
Fields of papers citing papers by Hao Ran
This network shows the impact of papers produced by Hao Ran. 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 Hao Ran. The network helps show where Hao Ran may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Ran, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Neuronal Cell Death Mechanisms in Major Neurodegenerative Diseases Hit paper breakdown → | 2018 | 324 |
| 2 | A Survey of Network Automation for Industrial Internet-of-Things Toward Industry 5.0 Hit paper breakdown → | 2022 | 126 |
| 3 | 2019 | 119 | |
| 4 | 2016 | 112 | |
| 5 | Healthcare 5.0: In the Perspective of Consumer Internet-of-Things-Based Fog/Cloud Computing Hit paper breakdown → | 2023 | 86 |
| 6 | 2013 | 70 | |
| 7 | 2021 | 52 | |
| 8 | 2016 | 40 | |
| 9 | 2013 | 37 | |
| 10 | 2015 | 35 | |
| 11 | 2020 | 31 | |
| 12 | 2020 | 29 | |
| 13 | 2015 | 29 | |
| 14 | 2022 | 28 | |
| 15 | 2023 | 27 | |
| 16 | 2015 | 20 | |
| 17 | 2023 | 19 | |
| 18 | 2020 | 18 | |
| 19 | 2023 | 17 | |
| 20 | 2023 | 16 |
About Hao Ran
Hao Ran is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence, having authored 80 papers that have together received 1.5k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (19 papers), Advanced MIMO Systems Optimization (13 papers), Advanced Wireless Communication Technologies (7 papers), Context-Aware Activity Recognition Systems (6 papers), Software-Defined Networks and 5G (6 papers), Wireless Body Area Networks (5 papers), IoT Networks and Protocols (5 papers) and Energy Efficient Wireless Sensor Networks (5 papers). The work is most often cited by research in Computer Networks and Communications (453 citations), Developmental Neuroscience (45 citations), Neurology (90 citations), Biological Psychiatry (23 citations) and Health Information Management (43 citations). Hao Ran has collaborated with scholars based in Portugal, Hong Kong and China. Frequent co-authors include Kim Fung Tsang, Ayman Radwan, Hui-Yun Chang, Tzu‐Kang Sang, Chung Kit Wu, Kwok Tai Chui, Hongxu Zhu, Nen‐Fu Huang, M. Fátima Domingues and Yucheng Liu. Their work appears in journals such as IEEE Transactions on Industrial Informatics, IEEE Transactions on Consumer Electronics, IEEE Access, Sensors 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.