Ting Bi

44 papers receiving 599 citations

Peers

Ting Bi
Comparison fields: 5 of 76
  • Human-Computer Interaction 67
  • Computer Vision and Pattern Recognition 244
  • Signal Processing 104
  • Computer Networks and Communications 183
  • Sensory Systems 21
Replace Zhenhui Yuan with:
Zhenhui Yuan China
Benjamin Rainer Austria
Chunpeng Wu China
Longhao Zou China
Wahab Khan China
Habib Khan South Korea
Kwang-Eun Ko South Korea
Roshan Ragel Sri Lanka
Selina Sharmin Bangladesh
Ahmad Hoirul Basori Saudi Arabia
Ting Bi relative to Zhenhui Yuan China Zhenhui Yuan's profile →
Citations per field
00.5×1.5×
Zhenhui Yuan · 1×
Citations per year

Countries citing papers authored by Ting Bi

Since Specialization
Citations

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

Fields of papers citing papers by Ting Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020165
2 201565
3 202057
4 201048
5 201132
6 201920
7 202019
8 202018
9 201817
10 201315
11 201914
12 201313
13 201312
14 202211
15 201510
16 20238
17 20227
18 20237
19 20247
20 20245

About Ting Bi

Ting Bi is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Electrical and Electronic Engineering, Sociology and Political Science and Signal Processing, having authored 49 papers that have together received 611 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (18 papers), Multimedia Communication and Technology (8 papers), Video Coding and Compression Technologies (7 papers), Caching and Content Delivery (7 papers), Wireless Networks and Protocols (6 papers), Virtual Reality Applications and Impacts (5 papers), Cooperative Communication and Network Coding (5 papers) and Advanced Wireless Network Optimization (5 papers). The work is most often cited by research in Human-Computer Interaction (67 citations), Computer Vision and Pattern Recognition (244 citations), Signal Processing (104 citations), Computer Networks and Communications (183 citations) and Sensory Systems (21 citations). Ting Bi has collaborated with scholars based in China, Ireland and United Kingdom. Frequent co-authors include Gabriel‐Miro Muntean, Abid Yaqoob, Gheorghiță Ghinea, Zhenhui Yuan, Ramona Trestian, Hitesh Tewari, Aleksandar Milenović, Mohammed Amine Togou, Kevin McDonnell and Kapal Dev. Their work appears in journals such as IEEE Transactions on Cognitive Communications and Networking, IEEE Transactions on Mobile Computing, IEEE Transactions on Multimedia, IEEE Internet of Things Journal and IEEE Communications Surveys & Tutorials.

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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