Jianguo Li
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- Advanced Image and Video Retrieval Techniques 19
- Advanced Neural Network Applications 14
- Video Surveillance and Tracking Methods 8
- Video Analysis and Summarization 7
- Image Retrieval and Classification Techniques 7
- Multimodal Machine Learning Applications 6
- Artificial Intelligence top 2%
- Domain Adaptation and Few-Shot Learning 10
- Anomaly Detection Techniques and Applications 7
- Media Technology top 5%
- Signal Processing top 10%
- Partner nations
- ChinaUnited StatesMalaysia
In The Last Decade
Jianguo Li
57 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Computer Vision and Pattern Recognition 1.1k
- Artificial Intelligence 477
- Media Technology 111
- Signal Processing 77
- Computational Mathematics 4
Countries citing papers authored by Jianguo Li
This map shows the geographic impact of Jianguo Li'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 Jianguo Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianguo Li more than expected).
Fields of papers citing papers by Jianguo Li
This network shows the impact of papers produced by Jianguo Li. 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 Jianguo Li. The network helps show where Jianguo Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jianguo Li, 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 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 18 | |
| 8 | 2022 | 3 | |
| 9 | 2021 | 28 | |
| 10 | 2021 | 26 | |
| 11 | 2021 | 0 | |
| 12 | 2020 | 1 | |
| 13 | Knowledge Distillation from Few Samples | 2018 | 5 |
| 14 | Network Decoupling: From Regular to Depthwise Separable Convolutions. | 2018 | 6 |
| 15 | Tiny-DSOD: Lightweight Object Detection for Resource-Restricted Usages | 2018 | 33 |
| 16 | DSOD: Learning Deeply Supervised Object Detectors from Scratchbreakdown → | 2017 | 429 |
| 17 | 2017 | 9 | |
| 18 | Analysis of Geological Features and Ore Perspective for Wushan Copper-Sulfur Deposit in Jiurui Mineralization District | 2016 | 1 |
| 19 | A Heuristic Algorithm of Attribute Reduction for Decision Table Based on Discernibility Matrix | 2008 | 0 |
| 20 | 2008 | 2 |
About Jianguo Li
Jianguo Li is a scholar working on Computer Vision and Pattern Recognition, Computational Mathematics and Artificial Intelligence, having authored 68 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (19 papers), Advanced Neural Network Applications (14 papers), Domain Adaptation and Few-Shot Learning (10 papers), Video Surveillance and Tracking Methods (8 papers), Video Analysis and Summarization (7 papers), Image Retrieval and Classification Techniques (7 papers), Anomaly Detection Techniques and Applications (7 papers) and Multimodal Machine Learning Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Artificial Intelligence (477 citations) and Media Technology (111 citations). Jianguo Li has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Zhuang Liu, Yu–Gang Jiang, Yurong Chen, Xiangyang Xue, Zhiqiang Shen, Weiyao Lin, John See, Di You, Changshui Zhang and Martin Griss.
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.