Congcong Wen

1.4k total citations · 3 hit papers
39 papers, 850 citations indexed

About

Congcong Wen is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering and Computational Mechanics. According to data from OpenAlex, Congcong Wen has authored 39 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 10 papers in Environmental Engineering and 9 papers in Computational Mechanics. Recurrent topics in Congcong Wen's work include 3D Shape Modeling and Analysis (9 papers), Remote Sensing and LiDAR Applications (8 papers) and 3D Surveying and Cultural Heritage (8 papers). Congcong Wen is often cited by papers focused on 3D Shape Modeling and Analysis (9 papers), Remote Sensing and LiDAR Applications (8 papers) and 3D Surveying and Cultural Heritage (8 papers). Congcong Wen collaborates with scholars based in China, United Arab Emirates and United States. Congcong Wen's co-authors include Li Xiang, Ling Peng, Tianhe Chi, Xiaojing Yao, Yuan Hu, Shufu Liu, Yuan Hu, Yi Fang, Xiao Xiang Zhu and Nan Zhou and has published in prestigious journals such as The Science of The Total Environment, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Congcong Wen

28 papers receiving 832 citations

Hit Papers

A novel spatiotemporal convolutional long short-term neur... 2018 2026 2020 2023 2018 2024 2025 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Congcong Wen China 12 464 229 169 168 140 39 850
Yanlin Guo United States 19 342 0.7× 89 0.4× 87 0.5× 301 1.8× 38 0.3× 60 1.2k
Yehua Sheng China 17 230 0.5× 74 0.3× 113 0.7× 219 1.3× 30 0.2× 107 1.1k
Li Yan China 23 376 0.8× 26 0.1× 260 1.5× 501 3.0× 28 0.2× 89 1.2k
Zheng Ji China 13 459 1.0× 17 0.1× 263 1.6× 193 1.1× 34 0.2× 33 831
Youchuan Wan China 15 234 0.5× 77 0.3× 63 0.4× 190 1.1× 12 0.1× 52 724
Nicolas Paparoditis France 19 727 1.6× 12 0.1× 487 2.9× 467 2.8× 91 0.7× 76 1.4k
Xinchang Zhang China 17 439 0.9× 24 0.1× 129 0.8× 256 1.5× 10 0.1× 51 1.2k
Jincheng Jiang China 12 75 0.2× 38 0.2× 32 0.2× 46 0.3× 49 0.3× 35 684
Philip J. Basford United Kingdom 12 355 0.8× 278 1.2× 38 0.2× 62 0.4× 88 0.6× 35 776
Niko Lukač Slovenia 16 443 1.0× 15 0.1× 192 1.1× 112 0.7× 27 0.2× 66 954

Countries citing papers authored by Congcong Wen

Since Specialization
Citations

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

Fields of papers citing papers by Congcong Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Congcong Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Congcong Wen. A scholar is included among the top collaborators of Congcong Wen 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 Congcong Wen. Congcong Wen 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.
Hong, Danfeng, et al.. (2025). RS-MoE: A Vision–Language Model With Mixture of Experts for Remote Sensing Image Captioning and Visual Question Answering. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–18. 7 indexed citations
2.
Zhang, Chao, et al.. (2025). FedRSCLIP: Federated learning for remote sensing scene classification using vision-language models. IEEE Geoscience and Remote Sensing Magazine. 13(3). 260–275. 6 indexed citations
3.
Li, Minghan, Congcong Wen, Yu Tian, et al.. (2025). FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging with FairLoRA. IEEE Transactions on Medical Imaging. PP. 1–1.
4.
Lin, Hui, Nan Li, Yuhan Guo, et al.. (2025). Generalization-Enhanced Few-Shot Object Detection in Remote Sensing. IEEE Transactions on Circuits and Systems for Video Technology. 35(6). 5445–5460. 10 indexed citations
5.
Hu, Yuan, et al.. (2025). RSGPT: A remote sensing vision language model and benchmark. ISPRS Journal of Photogrammetry and Remote Sensing. 224. 272–286. 25 indexed citations breakdown →
7.
Wen, Congcong, et al.. (2025). TripleMixer: A Triple-Domain Mixing Model for Point Cloud Denoising Under Adverse Weather. IEEE Transactions on Image Processing. 34. 7712–7727.
8.
Luo, Yan, Congcong Wen, Min Shi, et al.. (2025). FairDiffusion: Enhancing equity in latent diffusion models via fair Bayesian perturbation. Science Advances. 11(14). eads4593–eads4593.
9.
Huang, Hao, et al.. (2024). A single 3D shape wavelet-based generative model. Computers & Graphics. 119. 103891–103891.
10.
Wen, Congcong, et al.. (2024). Multimodal Features and Accurate Place Recognition With Robust Optimization for Lidar–Visual–Inertial SLAM. IEEE Transactions on Instrumentation and Measurement. 73. 1–16. 6 indexed citations
11.
Wen, Congcong, et al.. (2024). Autoencoding tree for city generation and applications. ISPRS Journal of Photogrammetry and Remote Sensing. 208. 176–189.
12.
Xiang, Li, et al.. (2024). Vision-Language Models in Remote Sensing: Current progress and future trends. IEEE Geoscience and Remote Sensing Magazine. 12(2). 32–66. 69 indexed citations breakdown →
13.
Lin, Hui, et al.. (2024). Earthquake Spatio-Temporal Patterns Around Precursory Thermal Infrared (TIR) Anomalies. IEEE Geoscience and Remote Sensing Letters. 22. 1–5. 1 indexed citations
14.
Wen, Congcong, et al.. (2023). Retrieval-Specific View Learning for Sketch-to-Shape Retrieval. IEEE Transactions on Multimedia. 27. 768–779. 3 indexed citations
15.
Tian, Fuyou, Bingfang Wu, Hongwei Zeng, et al.. (2023). A shape-attention Pivot-Net for identifying central pivot irrigation systems from satellite images using a cloud computing platform: an application in the contiguous US. GIScience & Remote Sensing. 60(1). 10 indexed citations
16.
Wen, Congcong, Li Xiang, Hao Huang, Yu-Shen Liu, & Yi Fang. (2023). 3D Shape Contrastive Representation Learning With Adversarial Examples. IEEE Transactions on Multimedia. 27. 679–692. 7 indexed citations
17.
Xiang, Li, et al.. (2020). Road Extraction From Remote Sensing Images in Wildland–Urban Interface Areas. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 12 indexed citations
18.
Wen, Congcong, et al.. (2020). Directionally constrained fully convolutional neural network for airborne LiDAR point cloud classification. ISPRS Journal of Photogrammetry and Remote Sensing. 162. 50–62. 89 indexed citations
19.
Xiang, Li, et al.. (2020). Topology Constrained Shape Correspondence. IEEE Transactions on Visualization and Computer Graphics. 27(10). 3926–3937. 7 indexed citations
20.
Wen, Congcong, Shufu Liu, Xiaojing Yao, et al.. (2018). A novel spatiotemporal convolutional long short-term neural network for air pollution prediction. The Science of The Total Environment. 654. 1091–1099. 317 indexed citations breakdown →

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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