Ke Wu

1.5k total citations · 1 hit paper
57 papers, 1.1k citations indexed

About

Ke Wu is a scholar working on Media Technology, Atmospheric Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ke Wu has authored 57 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Media Technology, 28 papers in Atmospheric Science and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ke Wu's work include Remote-Sensing Image Classification (38 papers), Remote Sensing and Land Use (28 papers) and Advanced Image Fusion Techniques (13 papers). Ke Wu is often cited by papers focused on Remote-Sensing Image Classification (38 papers), Remote Sensing and Land Use (28 papers) and Advanced Image Fusion Techniques (13 papers). Ke Wu collaborates with scholars based in China, United States and Australia. Ke Wu's co-authors include Kenny Q. Zhu, Song Yang, Yuxiang Zhang, Yanfei Zhong, Liangpei Zhang, Pingxiang Li, Xiangyun Hu, Yanni Dong, Bo Du and Qian Du and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Optics Express and IEEE Access.

In The Last Decade

Ke Wu

53 papers receiving 1.0k 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.

False rumors detection on Sina Weibo by propagation structures

2015 380 citations Ke Wu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ke Wu China	15	435	358	315	251	211	57	1.1k
Roberto Interdonato France	14	189 0.4×	55 0.2×	171 0.5×	113 0.5×	85 0.4×	52	839
Wei Tian China	16	61 0.1×	49 0.1×	173 0.5×	313 1.2×	172 0.8×	99	1.1k
Zhongliang Wei China	9	256 0.6×	56 0.2×	249 0.8×	105 0.4×	50 0.2×	20	608
Laure Berti‐Équille France	15	48 0.1×	91 0.3×	426 1.4×	75 0.3×	272 1.3×	46	966
Ranga Raju Vatsavai United States	19	383 0.9×	20 0.1×	303 1.0×	186 0.7×	116 0.5×	114	1.2k
Kunlun Qi China	14	230 0.5×	17 0.0×	132 0.4×	149 0.6×	48 0.2×	35	600
Jinbao Wang China	13	48 0.1×	80 0.2×	252 0.8×	25 0.1×	181 0.9×	73	835
Kamalika Das United States	11	64 0.1×	34 0.1×	218 0.7×	28 0.1×	52 0.2×	33	454
Shyam Boriah United States	13	54 0.1×	19 0.1×	337 1.1×	63 0.3×	95 0.5×	31	679
Haidong Zhong China	13	38 0.1×	62 0.2×	89 0.3×	115 0.5×	88 0.4×	57	785

Countries citing papers authored by Ke Wu

Since Specialization

Citations

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

Fields of papers citing papers by Ke Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Wu

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

All Works

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20 of 20 papers shown

Wu, Ke, et al.. (2025). Hyperspectral Image Classification Based on Multiscale Feature Search Graph Convolutional Network With Meta Pseudolabels. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 23485–23504.

Wu, Ke, et al.. (2024). Institution and land transfer contract stability: Evidence from Jiangxi, Jiangsu and Liaoning provinces in rural China. Finance research letters. 69. 106092–106092. 1 indexed citations

Wu, Ke, et al.. (2024). Deep Spatial Feedback Refined Network With Multilevel Feature Fusion for Hyperspectral Image Subpixel Mapping. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–20. 2 indexed citations

Liu, Huize, et al.. (2024). A Novel Sample Generation Method for Deep Learning Lithological Mapping with Airborne TASI Hyperspectral Data in Northern Liuyuan, Gansu, China. Remote Sensing. 16(15). 2852–2852. 1 indexed citations

Yin, Yongkai, Ke Wu, Lei Lü, et al.. (2021). High dynamic range 3D laser scanning with the single-shot raw image of a color camera. Optics Express. 29(26). 43626–43626. 6 indexed citations

Liu, Huize, et al.. (2021). Lithology Classification Using TASI Thermal Infrared Hyperspectral Data with Convolutional Neural Networks. Remote Sensing. 13(16). 3117–3117. 30 indexed citations

Wu, Ke, et al.. (2021). A Novel Change Detection Approach Based on Spectral Unmixing from Stacked Multitemporal Remote Sensing Images with a Variability of Endmembers. Remote Sensing. 13(13). 2550–2550. 7 indexed citations

Yin, Yongkai, Xiangfeng Meng, Xiulun Yang, et al.. (2020). A two-step phase-shifting algorithm dedicated to fringe projection profilometry. Optics and Lasers in Engineering. 137. 106372–106372. 10 indexed citations

Wu, Ke, et al.. (2018). Hyperspectral image target detection via integrated background suppression with adaptive weight selection. Neurocomputing. 315. 59–67. 12 indexed citations

10.

Wu, Ke, et al.. (2017). Supervised Sub-Pixel Mapping for Change Detection from Remotely Sensed Images with Different Resolutions. Remote Sensing. 9(3). 284–284. 36 indexed citations

11.

Wu, Ke & Qian Du. (2017). Subpixel Change Detection of Multitemporal Remote Sensed Images Using Variability of Endmembers. IEEE Geoscience and Remote Sensing Letters. 14(6). 796–800. 15 indexed citations

12.

Wu, Ke, Cyril Allauzen, Keith Hall, Michael Riley, & Brian Roark. (2014). Encoding linear models as weighted finite-state transducers. 1258–1262. 16 indexed citations

13.

Eidelman, Vladimir, Ke Wu, Ferhan Türe, Philip Resnik, & Jimmy Lin. (2013). Mr. MIRA: Open-Source Large-Margin Structured Learning on MapReduce. Meeting of the Association for Computational Linguistics. 199–204. 2 indexed citations

14.

Du, Bo, Lefei Zhang, Dengyi Zhang, Ke Wu, & Tao Chen. (2012). A manifold learning based feature extraction method for hyperspectral classification. 10. 491–494. 3 indexed citations

15.

Wu, Ke, Jiangtao Xi, Yanguang Yu, & Zongkai Yang. (2012). 3D profile measurement based on estimation of spatial shifts between intensity ratios from multiple-step triangular patterns. Optics and Lasers in Engineering. 51(4). 440–445. 8 indexed citations

16.

McNamee, Paul, James Mayfield, Veselin Stoyanov, et al.. (2011). Cross-Language Entity Linking in Maryland during a Hurricane.. Theory and applications of categories. 12 indexed citations

17.

Du, Bo, Dengyi Zhang, Pingxiang Li, Tao Chen, & Ke Wu. (2011). A structured sub-pixel target detection method base on manifold learning method. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8002. 80020N–80020N. 2 indexed citations

18.

Wu, Ke. (2011). Super-resolution land-cover mapping based on the selective endmember spectral mixture model in hyperspectral imagery. Optical Engineering. 50(12). 126201–126201. 17 indexed citations

19.

Wu, Ke, Xiaolin Wang, & Bao‐Liang Lu. (2008). Cross Language Text Categorization Using a Bilingual Lexicon. International Joint Conference on Natural Language Processing. 165–172. 10 indexed citations

20.

Wu, Ke & Bao‐Liang Lu. (2008). A refinement framework for cross language text categorization. 401–411. 4 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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