Ran Bi

817 citations
64 papers · 574 · h-index 10

Impact in

Papers in

Ran Bi

55 papers receiving 555 citations

Peers

Ran Bi
Comparison fields: 5 of 96
  • Computer Networks and Communications 141
  • Electronic, Optical and Magnetic Materials 88
  • Electrical and Electronic Engineering 235
  • Computer Vision and Pattern Recognition 75
  • Hardware and Architecture 23
Replace Ruinian Li with:
Ruinian Li China
Ruqian Lu China
Bo Mei China
Yangtao Wang China
Suherman Suherman Indonesia
Min‐Soo Kim South Korea
S. Siva Sathya India
Yuyi Chen China
Navdeep Kaur India
Ran Bi relative to Ruinian Li China Ruinian Li's profile →
Citations per field
00.5×1.5×
Ruinian Li · 1×
Citations per year

Countries citing papers authored by Ran Bi

Since Specialization
Citations

This map shows the geographic impact of Ran Bi'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 Ran Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ran Bi more than expected).

Fields of papers citing papers by Ran Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ran Bi. 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 Ran Bi. The network helps show where Ran Bi may publish in the future.

Co-authors

The 25 scholars most cited alongside Ran Bi, 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 Ran Bi Line = papers co-authored together Ran Bi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201992
2 201879
3 202070
4 202159
5 201436
6 201832
7 202017
8 200814
9 200612
10 20229
11 20199
12 20088
13 20028
14 20227
15 20227
16 20206
17 20226
18 20096
19 20165
20 20195

About Ran Bi

Ran Bi is a scholar working on Computer Networks and Communications, Management Science and Operations Research, Electrical and Electronic Engineering, Hardware and Architecture and Mechanical Engineering, having authored 64 papers that have together received 574 indexed citations. Recurring topics across this work include Real-Time Systems Scheduling (7 papers), Multi-Criteria Decision Making (7 papers), IoT and Edge/Fog Computing (6 papers), Quality Function Deployment in Product Design (5 papers), Age of Information Optimization (5 papers), Advanced Battery Materials and Technologies (4 papers), Energy Efficient Wireless Sensor Networks (4 papers) and Advancements in Battery Materials (4 papers). The work is most often cited by research in Computer Networks and Communications (141 citations), Electronic, Optical and Magnetic Materials (88 citations), Electrical and Electronic Engineering (235 citations), Computer Vision and Pattern Recognition (75 citations) and Hardware and Architecture (23 citations). Ran Bi has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xinping Wang, Lei Zhang, Cheng Zeng, Guozhen Tan, Jiankang Ren, Qian Liu, Huawen Huang, Shi‐Zhang Qiao, Guoxue Liu and Jinyu Wei. Their work appears in journals such as Journal of Systems Architecture, Tsinghua Science & Technology, IEEE Access, IEEE Transactions on Network Science and Engineering and Biosensors.

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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