Hao Ran

2.2k citations
80 papers · 1.5k indexed · 3 hit papers · h-index 19

Hao Ran

74 papers receiving 1.5k citations

Hit Papers

Healthcare 5.0: In the Perspect...692018202620202023100200300

Peers

Hao Ran
Comparison fields: 5 of 151
  • Computer Networks and Communications 415
  • Neurology 95
  • Developmental Neuroscience 44
  • Biological Psychiatry 24
  • Electrical and Electronic Engineering 424
Replace Pramod Kumar Mishra with:
Pramod Kumar Mishra India
Junbo Wang China
Haibo Zhang China
Yutaka Ishibashi Japan
Xin Jiang China
Enjie Liu United Kingdom
Waldemar Wójcik Poland
Sultan Ahmad Saudi Arabia
Qing Zhang China
Ajay Verma United States
Hao Ran relative to Pramod Kumar Mishra India Pramod Kumar Mishra's profile →
Citations per field
00.5×3.1×
Pramod Kumar Mishra · 1×
Citations per year

Countries citing papers authored by Hao Ran

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20249
3 202445
4 20241
5 20246
6 20241
7 20240
8 20246
9 20241
10 20242
11 20244
12 202315
13 202318
14 20231
15 202323
16 20229
17
A Survey of Network Automation for Industrial Internet-of-Things Toward Industry 5.0breakdown →
2022109
18 20221
19 20208
20 201366

About Hao Ran

Hao Ran is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Media Technology, Computer Vision and Pattern Recognition and Health Information Management, 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), Smart Grid Energy Management (8 papers), Advanced Wireless Communication Technologies (7 papers), Software-Defined Networks and 5G (6 papers), Context-Aware Activity Recognition Systems (6 papers), IoT Networks and Protocols (5 papers) and Wireless Body Area Networks (5 papers). The work is most often cited by research in Computer Networks and Communications (415 citations), Neurology (95 citations), Developmental Neuroscience (44 citations), Biological Psychiatry (24 citations) and Electrical and Electronic Engineering (424 citations). Hao Ran has collaborated with scholars based in Portugal, Hong Kong and China. Frequent co-authors include Ayman Radwan, Hui-Yun Chang, Kim Fung Tsang, Tzu‐Kang Sang, Chung Kit Wu, Kwok Tai Chui, Hongxu Zhu, Qian Ai, Nen‐Fu Huang and M. Fátima Domingues. Their work appears in journals such as IEEE Transactions on Industrial Informatics, IEEE Transactions on Consumer Electronics, IEEE Access, Applied Energy and Sensors.

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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