Feng Wu

3.0k total citations · 1 hit paper
151 papers, 1.9k citations indexed

About

Feng Wu is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Feng Wu has authored 151 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Electrical and Electronic Engineering, 45 papers in Computer Vision and Pattern Recognition and 33 papers in Artificial Intelligence. Recurrent topics in Feng Wu's work include Gas Sensing Nanomaterials and Sensors (17 papers), Advanced Chemical Sensor Technologies (17 papers) and Analytical Chemistry and Sensors (12 papers). Feng Wu is often cited by papers focused on Gas Sensing Nanomaterials and Sensors (17 papers), Advanced Chemical Sensor Technologies (17 papers) and Analytical Chemistry and Sensors (12 papers). Feng Wu collaborates with scholars based in China, United States and Australia. Feng Wu's co-authors include Zheng-Jun Zha, Yongdong Zhang, Xueyang Fu, Aiping Liu, Jie Xiao, Zhiwei Xiong, Lei Xu, Tianzhu Zhang, Hui Li and Hancheng Lu and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Feng Wu

134 papers receiving 1.9k citations

Hit Papers

Image De-Raining Transformer 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Wu China 23 861 549 369 266 206 151 1.9k
Yuantao Chen China 24 1.3k 1.5× 246 0.4× 241 0.7× 318 1.2× 477 2.3× 56 2.1k
Fei Qiao China 22 955 1.1× 1.0k 1.9× 429 1.2× 349 1.3× 81 0.4× 134 2.4k
Varun Jeoti Malaysia 18 219 0.3× 711 1.3× 321 0.9× 139 0.5× 64 0.3× 151 1.3k
Xiaojun Zhai United Kingdom 22 387 0.4× 286 0.5× 253 0.7× 209 0.8× 216 1.0× 134 1.6k
Alfredo Gardel Spain 20 536 0.6× 417 0.8× 149 0.4× 142 0.5× 111 0.5× 104 1.2k
Marian Verhelst Belgium 33 775 0.9× 2.4k 4.4× 741 2.0× 643 2.4× 86 0.4× 225 3.6k
Linga Reddy Cenkeramaddi Norway 27 395 0.5× 642 1.2× 279 0.8× 393 1.5× 44 0.2× 201 2.1k
Reza R. Adhami United States 19 544 0.6× 420 0.8× 266 0.7× 162 0.6× 245 1.2× 103 1.5k
Wei Tang United States 21 357 0.4× 394 0.7× 445 1.2× 71 0.3× 488 2.4× 85 1.5k
Xiaoping Zeng China 21 162 0.2× 750 1.4× 243 0.7× 308 1.2× 53 0.3× 152 1.6k

Countries citing papers authored by Feng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Feng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Wu. A scholar is included among the top collaborators of Feng Wu 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 Feng Wu. Feng Wu 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.
Feng, Xuefei, et al.. (2025). Partition Map-Based Fast Block Partitioning for VVC Inter Coding. IEEE Transactions on Multimedia. 28. 998–1013.
2.
Chen, Dongliang, Yujie Yang, Qiuju Wu, et al.. (2024). A Programmable Interface Circuit for MOS Gas Sensor Array. IEEE Sensors Journal. 24(16). 25869–25878. 1 indexed citations
3.
Chen, Zehui, Zhenyu Li, Shiquan Zhang, et al.. (2024). Graph-DETR4D: Spatio-Temporal Graph Modeling for Multi-View 3D Object Detection. IEEE Transactions on Image Processing. 33. 4488–4500. 1 indexed citations
4.
Fu, Xueyang, et al.. (2024). Vision-and-Language Navigation via Latent Semantic Alignment Learning. IEEE Transactions on Multimedia. 26. 8406–8418. 3 indexed citations
5.
Wang, Yudong, et al.. (2023). E-nose System using CNN and Abstract Odor Map to Classify Meat Freshness. 1200–1204. 2 indexed citations
6.
Zhang, Yueyi, et al.. (2023). GET: Group Event Transformer for Event-Based Vision. 6015–6025. 19 indexed citations
7.
He, Jianfeng, et al.. (2023). Adaptive Part Mining for Robust Visual Tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(10). 11443–11457. 9 indexed citations
8.
Xue, Feng, et al.. (2023). A CNN-Based E-Nose Using Time Series Features for Food Freshness Classification. IEEE Sensors Journal. 23(6). 6027–6038. 38 indexed citations
9.
Wu, Feng, et al.. (2023). Fast Response Prediction Method Based on Bidirectional Long Short-Term Memory for High-Speed Links. IEEE Transactions on Microwave Theory and Techniques. 71(6). 2347–2359. 11 indexed citations
10.
Liu, Dong, et al.. (2023). Partition Map Prediction for Fast Block Partitioning in VVC Intra-Frame Coding. IEEE Transactions on Image Processing. 32. 2237–2251. 24 indexed citations
11.
Conde, Kristie, Zhongzhong Li, Lei Yao, et al.. (2022). Glucose-sensing glucagon-like peptide-1 receptor neurons in the dorsomedial hypothalamus regulate glucose metabolism. Science Advances. 8(23). eabn5345–eabn5345. 44 indexed citations
12.
Wu, Feng, et al.. (2022). Fast Estimation of a Statistical Eye Diagram for Nonlinear High-Speed Links Based on the Minimum Required Order of the Multiple Edge Response Method. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 31(2). 210–218. 5 indexed citations
13.
Xue, Feng, et al.. (2022). The Recognition of Different Odor Using Convolutional Neural Networks Extracted From Time and Temperature Features. IEEE Sensors Journal. 22(16). 16234–16243. 7 indexed citations
14.
Wu, Feng, et al.. (2021). Fast Multiple Edge Response Method Based on the Design of Experiment and Machine Learning. IEEE Microwave and Wireless Components Letters. 31(5). 521–524. 6 indexed citations
15.
Wu, Feng, et al.. (2021). Calculation of the Worst-Case Data Patterns and Eye Diagram for Nonlinear High-Speed Links. IEEE Transactions on Electromagnetic Compatibility. 63(6). 2159–2163. 5 indexed citations
16.
Chen, Xuejin, et al.. (2021). Weakly Supervised Neuron Reconstruction From Optical Microscopy Images With Morphological Priors. IEEE Transactions on Medical Imaging. 40(11). 3205–3216. 10 indexed citations
17.
Lu, Hancheng, et al.. (2020). LensCast: Robust Wireless Video Transmission Over MmWave MIMO With Lens Antenna Array. IEEE Transactions on Multimedia. 24. 33–48. 8 indexed citations
18.
Wu, Feng, et al.. (2020). Simulink-Based Modeling and PCA-Based Nonlinearity Evaluation for High-Speed Links. IEEE Transactions on Electromagnetic Compatibility. 62(4). 1386–1397. 9 indexed citations
19.
Lu, Hancheng, et al.. (2019). Compressed Pseudo-Analog Transmission System for Remote Sensing Images Over Bandwidth-Constrained Wireless Channels. IEEE Transactions on Circuits and Systems for Video Technology. 30(9). 3181–3195. 16 indexed citations
20.
Liang, Fei, Chong Luo, Ruiqin Xiong, Wenjun Zeng, & Feng Wu. (2017). Superimposed Modulation for Soft Video Delivery With Hidden Resources. IEEE Transactions on Circuits and Systems for Video Technology. 28(9). 2345–2358. 9 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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