Cheng Wang

15.5k total citations · 2 hit papers
514 papers, 11.1k citations indexed

About

Cheng Wang is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering and Geology. According to data from OpenAlex, Cheng Wang has authored 514 papers receiving a total of 11.1k indexed citations (citations by other indexed papers that have themselves been cited), including 185 papers in Computer Vision and Pattern Recognition, 182 papers in Environmental Engineering and 132 papers in Geology. Recurrent topics in Cheng Wang's work include Remote Sensing and LiDAR Applications (170 papers), 3D Surveying and Cultural Heritage (131 papers) and Robotics and Sensor-Based Localization (66 papers). Cheng Wang is often cited by papers focused on Remote Sensing and LiDAR Applications (170 papers), 3D Surveying and Cultural Heritage (131 papers) and Robotics and Sensor-Based Localization (66 papers). Cheng Wang collaborates with scholars based in China, Canada and United States. Cheng Wang's co-authors include Jonathan Li, Chenglu Wen, Yongtao Yu, Haiyan Guan, Ming Cheng, Yiping Chen, Christoph Meinel, Haojin Yang, Xin Li and Huan Luo and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Cheng Wang

480 papers receiving 10.8k citations

Hit Papers

FAIR1M: A benchmark datas... 2020 2026 2022 2024 2022 2020 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. FAIR1M: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery
    2022 337 citations Cheng Wang et al. profile →
  2. Review: Deep Learning on 3D Point Clouds
    2020 255 citations Cheng Wang, Jonathan Li et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Cheng Wang 3.9k 3.7k 2.9k 1.9k 1.2k 514 11.1k
Uwe Stilla 4.4k 1.1× 2.3k 0.6× 3.0k 1.1× 2.1k 1.1× 1.2k 1.0× 385 8.4k
Konrad Schindler 2.7k 0.7× 8.0k 2.2× 2.0k 0.7× 2.7k 1.4× 1.1k 0.8× 202 12.4k
Jonathan Li 7.3k 1.9× 4.4k 1.2× 4.5k 1.6× 2.3k 1.2× 2.4k 1.9× 641 18.4k
George Vosselman 7.2k 1.8× 2.0k 0.5× 6.3k 2.2× 1.6k 0.9× 1.5k 1.2× 211 10.1k
Hengshuang Zhao 2.4k 0.6× 11.1k 3.0× 1.9k 0.7× 1.5k 0.8× 1.2k 0.9× 66 18.5k
Qingquan Li 2.1k 0.5× 3.4k 0.9× 1.1k 0.4× 1.7k 0.9× 2.0k 1.6× 640 18.9k
Jie Shan 2.4k 0.6× 1.2k 0.3× 1.8k 0.6× 859 0.5× 884 0.7× 190 5.5k
Yulan Guo 2.3k 0.6× 5.8k 1.6× 2.9k 1.0× 2.4k 1.3× 254 0.2× 168 9.6k
Xiaojuan Qi 1.5k 0.4× 10.7k 2.9× 916 0.3× 1.2k 0.6× 985 0.8× 203 18.5k
Xiaohua Tong 2.4k 0.6× 1.4k 0.4× 809 0.3× 1.1k 0.6× 966 0.8× 435 9.3k

Countries citing papers authored by Cheng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Wang. A scholar is included among the top collaborators of Cheng Wang 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 Cheng Wang. Cheng Wang 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.
2.
Wang, Cheng, et al.. (2024). The impact of urban polycentricity on carbon emissions: A case study of the Yangtze River Delta Region in China. Journal of Cleaner Production. 442. 141127–141127. 9 indexed citations
3.
Xie, Xiongyao, et al.. (2024). Ground subsidence risk assessment method using PS-InSAR and LightGBM: a case study of Shanghai metro network. International Journal of Digital Earth. 17(1). 21 indexed citations
4.
Huang, Xun, et al.. (2024). Sunshine to Rainstorm: Cross-Weather Knowledge Distillation for Robust 3D Object Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 2409–2416. 7 indexed citations
5.
Wang, Cheng, et al.. (2024). Segmentation of Wheat Lodging Areas from UAV Imagery Using an Ultra-Lightweight Network. Agriculture. 14(2). 244–244. 15 indexed citations
6.
Wang, Zihui, Xiaoliang Fan, Yan Xu, et al.. (2024). ConTIG: Continuous representation learning on temporal interaction graphs. Neural Networks. 172. 106151–106151. 3 indexed citations
7.
Cheng, Ming, et al.. (2024). Multilevel Interactive Enhanced Network for Infrared Small-Target Detection. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 1 indexed citations
8.
Wang, Cheng, et al.. (2023). Contribution Factor Analysis of the Wuhan Yangtze River Bridge Deformation Using Sentinel-1A SAR Imagery and In Situ Data. Applied Sciences. 13(21). 11955–11955. 1 indexed citations
9.
Wang, Yanchen, et al.. (2023). Inferring Travel Modes from Cellular Signaling Data Based on the Gated Recurrent Unit Neural Network. Journal of Advanced Transportation. 2023. 1–15. 6 indexed citations
10.
Zheng, Shijun, Weiquan Liu, Siqi Shen, et al.. (2023). Adaptive local adversarial attacks on 3D point clouds. Pattern Recognition. 144. 109825–109825. 6 indexed citations
11.
Yang, Xin, Hongtao Huo, Chang Li, et al.. (2023). Semantic perceptive infrared and visible image fusion Transformer. Pattern Recognition. 149. 110223–110223. 19 indexed citations
12.
Li, Qing, Cheng Wang, Chenglu Wen, & Xin Li. (2023). DeepSIR: Deep semantic iterative registration for LiDAR point clouds. Pattern Recognition. 137. 109306–109306. 9 indexed citations
13.
Luo, Huan, Lina Fang, Hanyun Wang, et al.. (2022). Domain Adaptation for Object Classification in Point Clouds via Asymmetrical Siamese and Conditional Adversarial Network. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 1 indexed citations
14.
Wang, Cheng, et al.. (2020). Recognition of small-target ships in complex satellite images. National Remote Sensing Bulletin. 24(2). 116–125. 6 indexed citations
15.
Wen, Chenglu, et al.. (2019). Toward Efficient 3-D Colored Mapping in GPS-/GNSS-Denied Environments. IEEE Geoscience and Remote Sensing Letters. 17(1). 147–151. 35 indexed citations
16.
Luo, Huan, et al.. (2019). 3-D Object Classification in Heterogeneous Point Clouds via Bag-of-Words and Joint Distribution Adaption. IEEE Geoscience and Remote Sensing Letters. 16(12). 1909–1913. 6 indexed citations
17.
Yang, Zhuang, et al.. (2019). Accelerated stochastic gradient descent with step size selection rules. Signal Processing. 159. 171–186. 20 indexed citations
18.
Wang, Cheng, Ming Cheng, Ferdous Sohel, Mohammed Bennamoun, & Jonathan Li. (2018). NormalNet: A voxel-based CNN for 3D object classification and retrieval. Neurocomputing. 323. 139–147. 102 indexed citations
19.
Zang, Yu, et al.. (2016). Road Network Extraction via Aperiodic Directional Structure Measurement. IEEE Transactions on Geoscience and Remote Sensing. 54(6). 3322–3335. 29 indexed citations
20.
Wang, Hanyun, Cheng Wang, Huan Luo, et al.. (2015). 3-D Point Cloud Object Detection Based on Supervoxel Neighborhood With Hough Forest Framework. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 8(4). 1570–1581. 39 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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