Congyan Lang

2.1k total citations
107 papers, 1.2k citations indexed

About

Congyan Lang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Congyan Lang has authored 107 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Computer Vision and Pattern Recognition, 27 papers in Artificial Intelligence and 11 papers in Signal Processing. Recurrent topics in Congyan Lang's work include Advanced Image and Video Retrieval Techniques (37 papers), Visual Attention and Saliency Detection (23 papers) and Advanced Neural Network Applications (19 papers). Congyan Lang is often cited by papers focused on Advanced Image and Video Retrieval Techniques (37 papers), Visual Attention and Saliency Detection (23 papers) and Advanced Neural Network Applications (19 papers). Congyan Lang collaborates with scholars based in China, Singapore and United States. Congyan Lang's co-authors include Songhe Feng, Tao Wang, Yidong Li, Yi Jin, Shuicheng Yan, Guangcan Liu, Jian Yu, Gengyu Lyu, Lijuan Sun and Jiashi Feng and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Congyan Lang

100 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Congyan Lang China 16 901 392 105 83 74 107 1.2k
Songhe Feng China 20 1.1k 1.2× 722 1.8× 95 0.9× 172 2.1× 59 0.8× 141 1.4k
Yuzhu Ji China 14 639 0.7× 238 0.6× 92 0.9× 62 0.7× 64 0.9× 30 996
Tianshui Chen China 18 1.4k 1.5× 891 2.3× 114 1.1× 32 0.4× 45 0.6× 59 1.8k
Bogdan Alexe United States 14 1.5k 1.7× 644 1.6× 146 1.4× 104 1.3× 179 2.4× 29 2.0k
Zhidong Deng China 20 505 0.6× 372 0.9× 82 0.8× 53 0.6× 165 2.2× 118 1.4k
Xiushan Nie China 24 1.4k 1.6× 579 1.5× 122 1.2× 36 0.4× 38 0.5× 150 1.9k
Keze Wang China 16 874 1.0× 543 1.4× 110 1.0× 18 0.2× 42 0.6× 38 1.3k

Countries citing papers authored by Congyan Lang

Since Specialization
Citations

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

Fields of papers citing papers by Congyan Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Congyan Lang

This figure shows the co-authorship network connecting the top 25 collaborators of Congyan Lang. A scholar is included among the top collaborators of Congyan Lang 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 Congyan Lang. Congyan Lang 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.
Lang, Congyan, et al.. (2025). UNAGI: Unified neighbor-aware graph neural network for multi-view clustering. Neural Networks. 185. 107193–107193.
2.
Lang, Congyan, et al.. (2024). Biphenyl or naphthalene-modified fluorene fluorogenic molecules with different solid-state emission and mechanofluorochromic behaviors. Journal of Molecular Structure. 1324. 140902–140902. 2 indexed citations
3.
Sun, Xinyu, et al.. (2024). RL-SeqISP: Reinforcement Learning-Based Sequential Optimization for Image Signal Processing. Proceedings of the AAAI Conference on Artificial Intelligence. 38(5). 5025–5033. 1 indexed citations
4.
Liu, He, Tao Wang, Congyan Lang, et al.. (2024). GLAN: A graph-based linear assignment network. Pattern Recognition. 155. 110694–110694.
5.
Lang, Congyan, et al.. (2024). Linkage-Based Object Re-Identification via Graph Learning. IEEE Transactions on Intelligent Transportation Systems. 25(10). 13040–13050. 1 indexed citations
6.
Wang, Tao, et al.. (2024). The Cascaded Forward algorithm for neural network training. Pattern Recognition. 161. 111292–111292. 4 indexed citations
7.
Lang, Congyan, et al.. (2023). Global and spatial multi-scale contexts fusion for vehicle re-identification. Journal of Image and Graphics. 28(2). 471–482. 2 indexed citations
8.
Chen, Ziyi, et al.. (2023). Integrating topology beyond descriptions for zero-shot learning. Pattern Recognition. 143. 109738–109738. 5 indexed citations
9.
Feng, Songhe, et al.. (2022). Distance-Preserving Embedding Adaptive Bipartite Graph Multi-View Learning with Application to Multi-Label Classification. ACM Transactions on Knowledge Discovery from Data. 17(2). 1–21. 5 indexed citations
10.
Lang, Congyan, et al.. (2022). Pedestrian attribute recognition based on attribute correlation. Multimedia Systems. 28(3). 1069–1081. 5 indexed citations
11.
Li, Zun, Congyan Lang, Jian Zhao, et al.. (2021). Dense Attentive Feature Enhancement for Salient Object Detection. IEEE Transactions on Circuits and Systems for Video Technology. 32(12). 8128–8141. 35 indexed citations
12.
Lang, Congyan, et al.. (2021). Fine-Grained Semantic Image Synthesis with Object-Attention Generative Adversarial Network. ACM Transactions on Intelligent Systems and Technology. 12(5). 1–18. 2 indexed citations
13.
Lang, Congyan, et al.. (2020). Fine-Grained Facial Expression Recognition in the Wild. IEEE Transactions on Information Forensics and Security. 16. 482–494. 51 indexed citations
14.
Li, Zun, Congyan Lang, Tao Wang, Yidong Li, & Jiashi Feng. (2020). Deep spatio-frequency saliency detection. Neurocomputing. 453. 645–655. 3 indexed citations
15.
Li, Yidong, et al.. (2018). Saliency Detection with Side Information on Railway Transportation Dataset. 1–5. 2 indexed citations
16.
Lang, Congyan, et al.. (2018). Saliency Aggregation: Multifeature and Neighbor Based Salient Region Detection for Social Images. Applied Computational Intelligence and Soft Computing. 2018. 1–16. 1 indexed citations
17.
Lang, Congyan, Guangcan Liu, Jian Yu, & Shuicheng Yan. (2011). Saliency Detection by Multitask Sparsity Pursuit. IEEE Transactions on Image Processing. 21(3). 1327–1338. 147 indexed citations
18.
Wang, Jinhua, De Xu, Congyan Lang, & Bing Li. (2011). Exposure Fusion Based on Shift-Invariant Discrete Wavelet Transform *. Journal of information science and engineering. 27(1). 197–211. 10 indexed citations
19.
Wang, Jinhua, De Xu, Congyan Lang, & Bing Li. (2010). An Adaptive Tone Mapping Method for Displaying High Dynamic Range Images. Journal of information science and engineering. 26(3). 977–990.
20.
Lang, Congyan, et al.. (2005). Shot boundary detection based on laplacian eigenmaps. 2. 1002–1005. 2 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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