Cheng Pang

538 total citations · 1 hit paper
13 papers, 406 citations indexed

About

Cheng Pang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Cheng Pang has authored 13 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 7 papers in Media Technology and 3 papers in Artificial Intelligence. Recurrent topics in Cheng Pang's work include Advanced Image Processing Techniques (7 papers), Advanced Image Fusion Techniques (5 papers) and Image and Signal Denoising Methods (4 papers). Cheng Pang is often cited by papers focused on Advanced Image Processing Techniques (7 papers), Advanced Image Fusion Techniques (5 papers) and Image and Signal Denoising Methods (4 papers). Cheng Pang collaborates with scholars based in China, Japan and United Kingdom. Cheng Pang's co-authors include Rushi Lan, Xiaonan Luo, Zhenbing Liu, Long Sun, Huimin Lu, Zhixun Su, Bingbing Li, Maofa Wang, Ning Kang and Wenhao Wang and has published in prestigious journals such as Sensors, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Cybernetics.

In The Last Decade

Cheng Pang

11 papers receiving 396 citations

Hit Papers

align trajectories

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.

MADNet: A Fast and Lightweight Network for Single-Image Super Resolution

2020 246 citations Rushi Lan, Long Sun et al. IEEE Transactions on Cybernetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cheng Pang China	5	334	217	39	21	20	13	406
Long Sun China	6	444 1.3×	284 1.3×	38 1.0×	25 1.2×	18 0.9×	17	533
Xiaojie Chu United States	5	399 1.2×	164 0.8×	39 1.0×	28 1.3×	22 1.1×	7	493
Tetiana Martyniuk Ukraine	2	606 1.8×	291 1.3×	29 0.7×	18 0.9×	15 0.8×	5	666
Orest Kupyn Ukraine	2	606 1.8×	291 1.3×	29 0.7×	18 0.9×	15 0.8×	2	666
Magudeeswaran Veluchamy India	13	391 1.2×	233 1.1×	37 0.9×	21 1.0×	42 2.1×	24	465
Bharath Subramani India	13	398 1.2×	231 1.1×	37 0.9×	21 1.0×	41 2.0×	30	477
Domonkos Varga Hungary	12	358 1.1×	155 0.7×	27 0.7×	24 1.1×	10 0.5×	37	416
Shuzhou Yang China	8	584 1.7×	197 0.9×	31 0.8×	38 1.8×	26 1.3×	9	649
Lijun Zhao China	12	342 1.0×	141 0.6×	54 1.4×	44 2.1×	57 2.9×	41	491
Lanqing Guo Singapore	10	261 0.8×	99 0.5×	35 0.9×	19 0.9×	18 0.9×	28	346

Countries citing papers authored by Cheng Pang

Since Specialization

Citations

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

Fields of papers citing papers by Cheng Pang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Pang. A scholar is included among the top collaborators of Cheng Pang 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 Pang. Cheng Pang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Guo, Tong, et al.. (2025). MSAFNet: Integrating Multi-Scale and Self-Adaptive Attention for Comprehensive Feature Representation. 264–272. 1 indexed citations

2.

Pang, Cheng, et al.. (2024). CSTAN: A Deepfake Detection Network with CST Attention for Superior Generalization. Sensors. 24(22). 7101–7101.

3.

Kang, Ning, Maofa Wang, Cheng Pang, et al.. (2024). Cross-patch feature interactive net with edge refinement for retinal vessel segmentation. Computers in Biology and Medicine. 174. 108443–108443. 8 indexed citations

4.

Lan, Rushi, et al.. (2023). Single Traffic Image Deraining via Similarity-Diversity Model. IEEE Transactions on Intelligent Transportation Systems. 25(1). 90–103. 3 indexed citations

5.

Wang, Wen-Da, et al.. (2023). Channel Boosting, Cross-Layer Feature Integration, and Multi-Scale Classification for Fine-Grained Visual Classification. 48–53. 1 indexed citations

6.

Lan, Rushi, et al.. (2022). 3D Deformable Kernels for Video super-resolution. 291–298.

7.

Wang, Wenhao, et al.. (2021). Cascading and Residual Connected Network for Single Image Superresolution. Wireless Communications and Mobile Computing. 2021(1). 1 indexed citations

8.

Lan, Rushi, Long Sun, Zhenbing Liu, et al.. (2020). Cascading and Enhanced Residual Networks for Accurate Single-Image Super-Resolution. IEEE Transactions on Cybernetics. 51(1). 115–125. 100 indexed citations

9.

Lan, Rushi, et al.. (2020). Multi-scale single image rain removal using a squeeze-and-excitation residual network. Applied Soft Computing. 92. 106296–106296. 8 indexed citations

10.

Lan, Rushi, Long Sun, Zhenbing Liu, et al.. (2020). MADNet: A Fast and Lightweight Network for Single-Image Super Resolution. IEEE Transactions on Cybernetics. 51(3). 1443–1453. 246 indexed citations breakdown →

11.

Wang, Wenhao, et al.. (2019). Rain-Density Squeeze-and-Excitation Residual Network for Single Image Rain-removal. 284–289. 4 indexed citations

12.

Lan, Rushi, et al.. (2019). Image denoising via deep residual convolutional neural networks. Signal Image and Video Processing. 15(1). 1–8. 33 indexed citations

13.

Wang, Wenhao, Cheng Pang, Zhenbing Liu, Rushi Lan, & Xiaonan Luo. (2019). SRGNet: A GRU Based Feature Fusion Network for Image Denoising. 1–2. 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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