Nan Ding

1.4k citations
37 papers · 911 · h-index 15

Impact in

Papers in

Nan Ding

35 papers receiving 887 citations

Peers

Nan Ding
Comparison fields: 5 of 90
  • Computer Networks and Communications 357
  • Statistical and Nonlinear Physics 181
  • General Economics, Econometrics and Finance 115
  • Control and Systems Engineering 250
  • Artificial Intelligence 201
Replace Frauke Liers with:
Frauke Liers Germany
Rex K. Kincaid United States
Jaemyung Ahn South Korea
A. Locatelli Italy
Craig T. Lawrence United States
Douglas Allaire United States
Liu - Taiwan
Ming Zhong China
Nan Ding relative to Frauke Liers Germany Frauke Liers's profile →
Citations per field
00.5×10×12.8×
Frauke Liers · 1×
Citations per year

Countries citing papers authored by Nan Ding

Since Specialization
Citations

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

Fields of papers citing papers by Nan Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011151
2 2005141
3 201882
4
Bayesian Sampling Using Stochastic Gradient Thermostats
201461
5 200660
6 201756
7 201251
8 200639
9 201938
10 200738
11 201727
12 202224
13 201717
14 201316
15
t-logistic regression
201015
16 202111
17 202411
18 201611
19 20119
20 20108

About Nan Ding

Nan Ding is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence and Applied Mathematics, having authored 37 papers that have together received 911 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (10 papers), Distributed Control Multi-Agent Systems (4 papers), Adaptive Control of Nonlinear Systems (4 papers), Robotics and Automated Systems (4 papers), Advanced Memory and Neural Computing (3 papers), Nonlocal and gradient elasticity in micro/nano structures (3 papers), Nonlinear Differential Equations Analysis (3 papers) and Gaussian Processes and Bayesian Inference (3 papers). The work is most often cited by research in Computer Networks and Communications (357 citations), Statistical and Nonlinear Physics (181 citations), General Economics, Econometrics and Finance (115 citations), Control and Systems Engineering (250 citations) and Artificial Intelligence (201 citations). Nan Ding has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Barry C. Field, Zhijun Li, Hongyong Zhao, Zhengwen Tu, Yuming Feng, Wei Zhang, Chenguang Yang, Ling Chen, Tong Ge and Eric Li. Their work appears in journals such as Chaos Solitons & Fractals, Acta Mechanica, Applied Mathematics and Computation, Physica A Statistical Mechanics and its Applications and Environmental Pollution.

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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