Ting Bi
- Human-Computer Interaction top 5%
- Virtual Reality Applications and Impacts 5
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- Image and Video Quality Assessment 17
- Signal Processing top 5%
- Video Coding and Compression Technologies 7
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- Caching and Content Delivery 7
- Wireless Networks and Protocols 6
- Cooperative Communication and Network Coding 5
- Media Technology top 10%
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- Multimedia Communication and Technology 8
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- Advanced Wireless Network Optimization 5
- Co-authors
- Gabriel‐Miro MunteanAbid YaqoobGheorghiță GhineaZhenhui YuanRamona TrestianLonghao ZouMohammed Amine TogouKapal Dev
- Journals
- IEEE Transactions on Mobile Computing (2 papers)IEEE Transactions on Multimedia (2 papers)IEEE Internet of Things Journal (2 papers)
- Partner nations
- ChinaIrelandUnited Kingdom
In The Last Decade
Ting Bi
44 papers receiving 581 citations
Peers
Comparison fields: 5 of 76
- Human-Computer Interaction 68
- Computer Vision and Pattern Recognition 239
- Signal Processing 103
- Computer Networks and Communications 178
- Media Technology 40
Countries citing papers authored by Ting Bi
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 7 | |
| 9 | 2024 | 4 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 4 | |
| 14 | 2022 | 3 | |
| 15 | 2022 | 1 | |
| 16 | 2020 | 19 | |
| 17 | 2020 | 3 | |
| 18 | 2020 | 18 | |
| 19 | 2013 | 14 | |
| 20 | 2010 | 48 |
About Ting Bi
Ting Bi is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Computer Networks and Communications, Sensory Systems and Signal Processing, having authored 47 papers that have together received 593 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (17 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), Advanced Wireless Network Optimization (5 papers), Cooperative Communication and Network Coding (5 papers) and Virtual Reality Applications and Impacts (5 papers). The work is most often cited by research in Human-Computer Interaction (68 citations), Computer Vision and Pattern Recognition (239 citations), Signal Processing (103 citations), Computer Networks and Communications (178 citations) and Media Technology (40 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, Longhao Zou, Mohammed Amine Togou, Kapal Dev, Hitesh Tewari and Kevin McDonnell. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Transactions on Multimedia, IEEE Internet of Things Journal, IEEE Transactions on Cognitive Communications and Networking and Digital Communications and 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.