Ran Ding

2.7k citations
75 papers · 2.0k indexed · h-index 24

Impact in

Papers in

Ran Ding

72 papers receiving 1.9k citations

Peers

Ran Ding
Comparison fields: 5 of 46
  • Electrical and Electronic Engineering 1.9k
  • Atomic and Molecular Physics, and Optics 847
  • Surfaces, Coatings and Films 79
  • Artificial Intelligence 219
  • Biomedical Engineering 149
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Aaron Zilkie United States
Anatol Khilo United States
Tingge Dai China
Yonghui Tian China
Roshanak Shafiiha United States
Jessie Rosenberg United States
Shiming Gao China
Cosimo Lacava United Kingdom
J.J.G.M. van der Tol Netherlands
Noam Ophir United States
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Citations per field
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Aaron Zilkie · 1×
Citations per year

Countries citing papers authored by Ran Ding

Since Specialization
Citations

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

Fields of papers citing papers by Ran Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013182
2 2013144
3 2012143
4 2014129
5 2010114
6 2011106
7 201398
8 201578
9 201377
10 201473
11 201465
12 201055
13 201743
14 201139
15 201239
16 201137
17 201136
18 201333
19 201530
20 201329

About Ran Ding

Ran Ding is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Energy Engineering and Power Technology, Artificial Intelligence and Automotive Engineering, having authored 75 papers that have together received 2.0k indexed citations. Recurring topics across this work include Photonic and Optical Devices (60 papers), Advanced Photonic Communication Systems (38 papers), Optical Network Technologies (36 papers), Semiconductor Lasers and Optical Devices (15 papers), Photonic Crystals and Applications (8 papers), Neural Networks and Reservoir Computing (6 papers), Advanced Fiber Laser Technologies (6 papers) and Magneto-Optical Properties and Applications (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (1.9k citations), Atomic and Molecular Physics, and Optics (847 citations), Surfaces, Coatings and Films (79 citations), Artificial Intelligence (219 citations) and Biomedical Engineering (149 citations). Ran Ding has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Tom Baehr‐Jones, Michael Hochberg, Andy Eu-Jin Lim, Yangjin Ma, Guo‐Qiang Lo, Ari Novack, Yang Liu, Yi Zhang, Zhe Xuan and Yisu Yang. Their work appears in journals such as Optics Express, Journal of Lightwave Technology, IEEE Photonics Technology Letters, Mathematical Methods in the Applied Sciences and Frontiers in Energy Research.

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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