Tong Lü
-
- Handwritten Text Recognition Techniques 84
- Advanced Image and Video Retrieval Techniques 48
- Image Retrieval and Classification Techniques 32
- Advanced Neural Network Applications 20
- Image Processing and 3D Reconstruction 16
- Video Analysis and Summarization 15
- Media Technology top 0.1%
- Vehicle License Plate Recognition 33
- Artificial Intelligence top 0.5%
- Accounting top 2%
- Corporate Finance and Governance 18
- Co-authors
- Enze XieWenhai WangXiang LiPing LuoDing LiangKaitao SongLing ShaoDeng-Ping Fan
In The Last Decade
Tong Lü
224 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 192
- Computer Vision and Pattern Recognition 5.9k
- Media Technology 1.9k
- Artificial Intelligence 1.8k
- Accounting 628
- Industrial and Manufacturing Engineering 397
Countries citing papers authored by Tong Lü
This map shows the geographic impact of Tong Lü'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 Tong Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tong Lü more than expected).
Fields of papers citing papers by Tong Lü
This network shows the impact of papers produced by Tong Lü. 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 Tong Lü. The network helps show where Tong Lü may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tong Lü, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 6 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 27 | |
| 13 | 2023 | 8 | |
| 14 | 2023 | 48 | |
| 15 | 2022 | 28 | |
| 16 | 2021 | 9 | |
| 17 | Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutionsbreakdown → | 2021 | 3008 |
| 18 | 2019 | 4 | |
| 19 | 2018 | 15 | |
| 20 | Specification and Modeling of Network Resources in Dynamic, Distributed Real-time System. | 2001 | 3 |
About Tong Lü
Tong Lü is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Accounting, having authored 243 papers that have together received 9.4k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (84 papers), Advanced Image and Video Retrieval Techniques (48 papers), Vehicle License Plate Recognition (33 papers), Image Retrieval and Classification Techniques (32 papers), Advanced Neural Network Applications (20 papers), Corporate Finance and Governance (18 papers), Image Processing and 3D Reconstruction (16 papers) and Video Analysis and Summarization (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.9k citations), Media Technology (1.9k citations) and Artificial Intelligence (1.8k citations). Tong Lü has collaborated with scholars based in China, Malaysia and India. Frequent co-authors include Enze Xie, Wenhai Wang, Xiang Li, Ping Luo, Ding Liang, Kaitao Song, Ling Shao, Deng-Ping Fan, Palaiahnakote Shivakumara and Umapada Pal. Their work appears in journals such as Pattern Recognition, Expert Systems with Applications, Multimedia Tools and Applications, IEEE Transactions on Image Processing and Pattern Recognition Letters.
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.