Ning Ruan

31 papers receiving 1.0k citations

Peers

Ning Ruan
Comparison fields: 5 of 79
  • Signal Processing 452
  • Numerical Analysis 151
  • Computer Networks and Communications 430
  • Computational Theory and Mathematics 294
  • Computer Vision and Pattern Recognition 356
Replace Aleksander Mądry with:
Aleksander Mądry United States
Ron Sacks‐Davis Australia
Colas Le Guernic France
Gershon Kedem United States
Shaojiang Deng China
Hervé Brönnimann United States
Nianmin Yao China
Leonidas Pitsoulis Greece
Sanjiv Kapoor United States
Ning Ruan relative to Aleksander Mądry United States Aleksander Mądry's profile →
Citations per field
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Aleksander Mądry · 1×
Citations per year

Countries citing papers authored by Ning Ruan

Since Specialization
Citations

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

Fields of papers citing papers by Ning Ruan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ning Ruan, 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 Ruan Line = papers co-authored together Ning Ruan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009159
2 2010154
3 2008125
4 201083
5 201267
6 201267
7 201155
8 200937
9 200935
10 201426
11 201425
12 200824
13 200822
14 200620
15 201119
16 201718
17 201015
18 200813
19 201212
20 200611

About Ning Ruan

Ning Ruan is a scholar working on Numerical Analysis, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Signal Processing and Artificial Intelligence, having authored 35 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (14 papers), Optimization and Variational Analysis (9 papers), Data Management and Algorithms (8 papers), Graph Theory and Algorithms (7 papers), Advanced Database Systems and Queries (5 papers), Probabilistic and Robust Engineering Design (5 papers), Advanced Graph Neural Networks (3 papers) and Reliability and Maintenance Optimization (3 papers). The work is most often cited by research in Signal Processing (452 citations), Numerical Analysis (151 citations), Computer Networks and Communications (430 citations), Computational Theory and Mathematics (294 citations) and Computer Vision and Pattern Recognition (356 citations). Ning Ruan has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Ruoming Jin, Yang Xiang, David Yang Gao, Haixun Wang, David Fuhry, Victor E. Lee, Charų C. Aggarwal, Hanif D. Sherali, Saikat Dey and Victor C. S. Lee. Their work appears in journals such as Applied Mathematics and Computation, Journal of Global Optimization, ACM Transactions on Database Systems, Mathematical Methods of Operations Research and Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics.

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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