Ning Wu

3.9k citations
238 papers · 3.1k · 2 hit papers · h-index 25

Impact in

Papers in

Ning Wu

211 papers receiving 3k citations

Ning Wu's Hit Papers

Learning Gradient Descent to Optimize DAS Signal Estimation 2024 · 56 citations
560+1Years since publication100200300

Peers

Ning Wu
Comparison fields: 5 of 125
  • Computer Vision and Pattern Recognition 911
  • Geophysics 514
  • Media Technology 167
  • Signal Processing 135
  • Computational Mathematics 9
Replace Chiyuan Zhang with:
Chiyuan Zhang United States
Jian Zhang China
Yilun Wang China
Alain Horé Canada
Chunwei Tian China
Hang Zhang China
Hui Ji Singapore
Alejandro Acosta Spain
Michel Barlaud France
Tim Salimans United States
Ning Wu relative to Chiyuan Zhang United States Chiyuan Zhang's profile →
Citations per field
00.5×2×3.3×
Chiyuan Zhang · 1×
Citations per year

Countries citing papers authored by Ning Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ning Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ning Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ning Wu Line = papers co-authored together Ning Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 238 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Semi-Supervised DAS VSP Data Denoising Using Signal and Noise Distribution Difference
Hit paper breakdown →
2024375
2 2020220
3 2020156
4 201493
5 202092
6 201986
7 201969
8 201566
9 200463
10 201157
11 202157
12 200156
13
Learning Gradient Descent to Optimize DAS Signal Estimation
Hit paper breakdown →
202456
14 201151
15 202049
16 201346
17 202045
18 201039
19 202136
20 201535

About Ning Wu

Ning Wu is a scholar working on Geophysics, Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering and Hardware and Architecture, having authored 238 papers that have together received 3.1k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (44 papers), Seismic Imaging and Inversion Techniques (43 papers), Seismic Waves and Analysis (28 papers), Wireless Power Transfer Systems (26 papers), Cryptographic Implementations and Security (24 papers), Interconnection Networks and Systems (12 papers), Advanced Radiotherapy Techniques (9 papers) and Embedded Systems Design Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (911 citations), Geophysics (514 citations), Media Technology (167 citations), Signal Processing (135 citations) and Computational Mathematics (9 citations). Ning Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yue Li, Yuxing Zhao, Man Zhang, Jingyuan Wang, Juan Li, Tie Zhong, Wayne Xin Zhao, Xintong Dong, Baojun Yang and Fen Ge. Their work appears in journals such as IEEE Geoscience and Remote Sensing Letters, IEEE Transactions on Geoscience and Remote Sensing, Geophysics, Electronics and Journal of Contemporary Brachytherapy.

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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