Cheng Jiang

1.2k total citations · 1 hit paper
22 papers, 731 citations indexed

About

Cheng Jiang is a scholar working on Computer Vision and Pattern Recognition, Ecology and Aerospace Engineering. According to data from OpenAlex, Cheng Jiang has authored 22 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 5 papers in Ecology and 5 papers in Aerospace Engineering. Recurrent topics in Cheng Jiang's work include Remote Sensing in Agriculture (5 papers), Remote-Sensing Image Classification (3 papers) and Satellite Image Processing and Photogrammetry (3 papers). Cheng Jiang is often cited by papers focused on Remote Sensing in Agriculture (5 papers), Remote-Sensing Image Classification (3 papers) and Satellite Image Processing and Photogrammetry (3 papers). Cheng Jiang collaborates with scholars based in China, United Kingdom and Australia. Cheng Jiang's co-authors include Yutao Cui, Gangshan Wu, Limin Wang, Liangpei Zhang, Huanfeng Shen, Hongyan Zhang, Hongyan Zhang, Qiangqiang Yuan, Shubha Sathyendranath and Kang Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Sensors.

In The Last Decade

Cheng Jiang

18 papers receiving 719 citations

Hit Papers

MixFormer: End-to-End Tracking with Iterative Mixed Atten... 2022 2026 2023 2024 2022 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheng Jiang China 8 571 194 169 75 60 22 731
Robby T. Tan Singapore 17 988 1.7× 239 1.2× 58 0.3× 106 1.4× 63 1.1× 39 1.2k
Qingshan Liu China 15 536 0.9× 411 2.1× 64 0.4× 90 1.2× 32 0.5× 41 1.0k
Yutao Cui China 6 513 0.9× 42 0.2× 150 0.9× 110 1.5× 68 1.1× 11 660
Bangjun Lei China 13 322 0.6× 68 0.4× 83 0.5× 65 0.9× 24 0.4× 82 560
Mohammed Al-Mualla United Arab Emirates 17 477 0.8× 203 1.0× 78 0.5× 119 1.6× 25 0.4× 63 784
Zhiyuan Liang China 7 410 0.7× 62 0.3× 58 0.3× 120 1.6× 26 0.4× 10 561
Stefan Walk Germany 7 769 1.3× 101 0.5× 79 0.5× 208 2.8× 48 0.8× 7 846
Yiquan Wu China 14 504 0.9× 167 0.9× 89 0.5× 83 1.1× 17 0.3× 51 697
Yuqi Han China 15 364 0.6× 93 0.5× 237 1.4× 87 1.2× 66 1.1× 50 592
Yuxu Lu China 12 437 0.8× 164 0.8× 93 0.6× 54 0.7× 29 0.5× 33 734

Countries citing papers authored by Cheng Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Jiang. A scholar is included among the top collaborators of Cheng Jiang 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 Jiang. Cheng Jiang 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.
Zhou, Guanhua, et al.. (2025). XGB-2D CNN-Based Dissolved Oxygen Inversion for Coastal Water. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 21289–21304.
3.
Yang, Zhixia, et al.. (2025). Dual-Focus Residual Tensor Enhancement Network for Infrared Small Target Detection. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–13.
4.
Jiang, Cheng, et al.. (2024). Study on substrates purification effect and microbial community structure of vertical subsurface flow constructed wetland under siphon effect. Journal of Water Process Engineering. 68. 106594–106594. 1 indexed citations
5.
Zhou, Guanhua, et al.. (2024). A Synergistic Framework for Coupling Crop Growth, Radiative Transfer, and Machine Learning to Estimate Wheat Crop Traits in Pakistan. Remote Sensing. 16(23). 4386–4386. 1 indexed citations
6.
Wang, Peng, et al.. (2023). PSFNet: Efficient Detection of SAR Image Based on Petty-Specialized Feature Aggregation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 190–205. 12 indexed citations
7.
Wang, Peng, Ping Chen, Gong Zhang, et al.. (2023). A General Multiscale Pyramid Attention Module for Ship Detection in SAR Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 2815–2827. 6 indexed citations
8.
Jiang, Cheng, Md Rakibul Hasan, Tom Gedeon, & Md Zakir Hossain. (2023). MaskTheFER: Mask-Aware Facial Expression Recognition using Convolutional Neural Network. 456–463.
9.
Cui, Yutao, Cheng Jiang, Limin Wang, & Gangshan Wu. (2022). MixFormer: End-to-End Tracking with Iterative Mixed Attention. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 13598–13608. 464 indexed citations breakdown →
10.
Lu, Xiaofeng, et al.. (2021). A Universal Malicious Documents Static Detection Framework Based on Feature Generalization. Applied Sciences. 11(24). 12134–12134. 5 indexed citations
11.
Deng, Weilin, et al.. (2019). Opacity of Networked Discrete Event Systems. 6736–6741. 5 indexed citations
12.
Zhou, Guanhua, et al.. (2018). Canopy Reflectance Modeling of Aquatic Vegetation for Algorithm Development: Global Sensitivity Analysis. Remote Sensing. 10(6). 837–837. 23 indexed citations
13.
Jiang, Cheng & Yifeng Zhang. (2017). The face detection algorithm based on local elastic potential energy feature. 1. 1–6. 1 indexed citations
14.
Jiang, Cheng, et al.. (2017). Conditional image generation using feature-matching GAN. 1–5. 4 indexed citations
15.
Liu, Wei, et al.. (2016). DE-STRIPING FOR TDICCD REMOTE SENSING IMAGE BASED ON STATISTICAL FEATURES OF HISTOGRAM. SHILAP Revista de lepidopterología. XLI-B1. 311–316. 2 indexed citations
16.
Jiang, Cheng, Hongyan Zhang, Liangpei Zhang, Huanfeng Shen, & Qiangqiang Yuan. (2016). Hyperspectral Image Denoising with a Combined Spatial and Spectral Weighted Hyperspectral Total Variation Model. Canadian Journal of Remote Sensing. 42(1). 53–72. 30 indexed citations
17.
Ren, Xiang, et al.. (2014). A method of fast mosaic for massive UAV images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9260. 92603W–92603W. 10 indexed citations
18.
Zhao, Huijun, et al.. (2013). Simulation of hyperspectral radiance images with quantification of adjacency effects over rugged scenes. Measurement Science and Technology. 24(12). 125405–125405. 7 indexed citations
19.
Jiang, Cheng, Hongyan Zhang, Huanfeng Shen, & Liangpei Zhang. (2012). A Practical Compressed Sensing-Based Pan-Sharpening Method. IEEE Geoscience and Remote Sensing Letters. 9(4). 629–633. 134 indexed citations
20.
Jiang, Cheng, Huijun Zhao, & Guorui Jia. (2012). Estimation of adjacency effect in the remotely sensed Hyperspectral data over rugged scenes. 195–199. 1 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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