Ning Qian

7.2k citations
83 papers · 4.9k · 2 hit papers · h-index 28

Impact in

Papers in

Ning Qian

79 papers receiving 4.8k citations

Ning Qian's Hit Papers

Practising orientation identification improves orientation coding in V1 neurons 2001 · 665 citations
6650+9+18Years since publication4008001.2k

Peers

Ning Qian
Comparison fields: 5 of 179
  • Cognitive Neuroscience 3.0k
  • Cellular and Molecular Neuroscience 875
  • Computer Vision and Pattern Recognition 978
  • Artificial Intelligence 721
  • Computational Mathematics 13
Replace Yang Li with:
Yang Li China
Paul Sajda United States
Marc M. Van Hulle Belgium
Tai Sing Lee United States
David J. Field United States
Jonathon Shlens United States
Helge Ritter Germany
C. von der Malsburg Germany
Andrea J. van Doorn Netherlands
Jagath C. Rajapakse Singapore
Ning Qian relative to Yang Li China Yang Li's profile →
Citations per field
00.5×2.8×
Yang Li · 1×
Citations per year

Countries citing papers authored by Ning Qian

Since Specialization
Citations

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

Fields of papers citing papers by Ning Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1
On the momentum term in gradient descent learning algorithms
Hit paper breakdown →
19991464
2
Practising orientation identification improves orientation coding in V1 neurons
Hit paper breakdown →
2001665
3 1994236
4 1994219
5 1995182
6 1997162
7 1994144
8 2003123
9 1997118
10 1994110
11 1989107
12 2006105
13 200888
14 199077
15 199773
16 200459
17 200158
18 199956
19 199655
20 202047

About Ning Qian

Ning Qian is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Computer Vision and Pattern Recognition and Epidemiology, having authored 83 papers that have together received 4.9k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (48 papers), Neural dynamics and brain function (30 papers), Neurobiology and Insect Physiology Research (14 papers), Neural and Behavioral Psychology Studies (8 papers), Advanced Vision and Imaging (8 papers), Retinal Development and Disorders (8 papers), Ophthalmology and Visual Impairment Studies (6 papers) and Color Science and Applications (6 papers). The work is most often cited by research in Cognitive Neuroscience (3.0k citations), Cellular and Molecular Neuroscience (875 citations), Computer Vision and Pattern Recognition (978 citations), Artificial Intelligence (721 citations) and Computational Mathematics (13 citations). Ning Qian has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include RA Andersen, A.A. Schoups, Rufin Vogels, Guy A. Orban, T. J. Sejnowski, Andrew F. Teich, Yudong Zhu, Nestor Matthews, David C. Bradley and Richard A. Andersen. Their work appears in journals such as Vision Research, Neural Computation, Journal of Neuroscience, Journal of Neurophysiology and Proceedings of the National Academy of Sciences.

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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