Lechao Cheng

742 total citations
52 papers, 377 citations indexed

About

Lechao Cheng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Lechao Cheng has authored 52 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 28 papers in Artificial Intelligence and 4 papers in Media Technology. Recurrent topics in Lechao Cheng's work include Advanced Neural Network Applications (13 papers), Domain Adaptation and Few-Shot Learning (11 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Lechao Cheng is often cited by papers focused on Advanced Neural Network Applications (13 papers), Domain Adaptation and Few-Shot Learning (11 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Lechao Cheng collaborates with scholars based in China, Singapore and Hong Kong. Lechao Cheng's co-authors include Chaowei Fang, Dingwen Zhang, Junwei Han, Zicheng Liao, Chengyi Zhang, Hao Li, Mingli Song, Liang Wang, Yulun Zhang and Zhaohui Zheng and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.

In The Last Decade

Lechao Cheng

38 papers receiving 376 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lechao Cheng China 10 242 139 44 44 22 52 377
Haoran Zhang China 8 158 0.7× 57 0.4× 15 0.3× 42 1.0× 30 1.4× 20 331
Qingji Guan China 11 284 1.2× 193 1.4× 80 1.8× 225 5.1× 19 0.9× 20 596
Yuming Jiang China 8 178 0.7× 52 0.4× 33 0.8× 123 2.8× 33 1.5× 29 360
Xiaosheng Wu China 10 200 0.8× 91 0.7× 46 1.0× 57 1.3× 13 0.6× 24 323
Guodong Zhang China 8 152 0.6× 73 0.5× 16 0.4× 27 0.6× 21 1.0× 28 271
Cheng Wan China 9 71 0.3× 65 0.5× 17 0.4× 32 0.7× 17 0.8× 47 298
Baigui Sun China 10 374 1.5× 277 2.0× 37 0.8× 43 1.0× 28 1.3× 20 530
Huafeng Liu China 10 171 0.7× 118 0.8× 41 0.9× 56 1.3× 32 1.5× 33 295
Huidong Liu China 9 176 0.7× 164 1.2× 24 0.5× 42 1.0× 13 0.6× 21 312

Countries citing papers authored by Lechao Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Lechao Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lechao Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Lechao Cheng. A scholar is included among the top collaborators of Lechao Cheng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lechao Cheng. Lechao Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cheng, Lechao, et al.. (2025). Temporal multi-modal knowledge graph generation for link prediction. Neural Networks. 185. 107108–107108.
2.
Fang, Chaowei, et al.. (2025). High-frequency structure transformer for magnetic resonance image super-resolution. Pattern Recognition. 170. 112037–112037.
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5.
He, Jingxuan, Lechao Cheng, Chaowei Fang, et al.. (2024). Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 2085–2093. 4 indexed citations
6.
Liu, Jiang, et al.. (2024). Multimodality-guided Visual-Caption Semantic Enhancement. Computer Vision and Image Understanding. 249. 104139–104139.
7.
Yang, Rui, Edison Marrese-Taylor, Yuhe Ke, et al.. (2024). KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques. 155–166. 14 indexed citations
8.
Cheng, Lechao, et al.. (2024). ScrollTimes: Tracing the Provenance of Paintings as a Window Into History. IEEE Transactions on Visualization and Computer Graphics. 30(6). 2981–2994. 3 indexed citations
9.
Pu, Nan, et al.. (2024). Fire and Smoke Detection with Burning Intensity Representation. 1–8. 2 indexed citations
10.
Chen, Jiawei, Lin Chen, Yang Jiang, et al.. (2024). Life regression based patch slimming for vision transformers. Neural Networks. 176. 106340–106340. 3 indexed citations
11.
Tian, Wentao, et al.. (2024). Open-Vocabulary Video Relation Extraction. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 5215–5223. 1 indexed citations
12.
Jie, Zequn, Shaoxiang Chen, Lechao Cheng, et al.. (2024). Instance-Aware Multi-Camera 3D Object Detection with Structural Priors Mining and Self-Boosting Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 2598–2606. 3 indexed citations
13.
Yang, Kaihui, Junwei Han, Chaowei Fang, et al.. (2024). Progressive Adapting and Pruning: Domain-Incremental Learning for Saliency Prediction. ACM Transactions on Multimedia Computing Communications and Applications. 20(8). 1–19. 2 indexed citations
14.
Fang, Chaowei, et al.. (2023). Adapting Object Size Variance and Class Imbalance for Semi-supervised Object Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 37(2). 1966–1974. 9 indexed citations
15.
Hu, Kaiwen, et al.. (2023). Disassembling Convolutional Segmentation Network. International Journal of Computer Vision. 131(7). 1741–1760. 4 indexed citations
16.
Wang, Kuo, Guanbin Li, Chaowei Fang, et al.. (2023). De-biased Teacher: Rethinking IoU Matching for Semi-supervised Object Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 37(2). 2573–2580. 9 indexed citations
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Gao, Lianli, et al.. (2022). From External to Internal: Structuring Image for Text-to-Image Attributes Manipulation. IEEE Transactions on Multimedia. 25. 7248–7261. 4 indexed citations
19.
Dong, Wei, et al.. (2022). Comparing Machine Learning Models and Statistical Models for Predicting Heart Failure Events: A Systematic Review and Meta-Analysis. Frontiers in Cardiovascular Medicine. 9. 812276–812276. 25 indexed citations
20.
Zhu, Bin, et al.. (2022). Mix-DANN and Dynamic-Modal-Distillation for Video Domain Adaptation. Proceedings of the 30th ACM International Conference on Multimedia. 3224–3233. 5 indexed citations

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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