Xiaoran Yan

2.7k citations
63 papers · 1.7k · 1 hit paper · h-index 17

Impact in

Papers in

Xiaoran Yan

60 papers receiving 1.6k citations

Xiaoran Yan's Hit Papers

The "Majority Illusion" in Social Networks 2016 · 537 citations
5370+3+6Years since publication100200300400500

Peers

Xiaoran Yan
Comparison fields: 5 of 187
  • Biomaterials 363
  • Statistical and Nonlinear Physics 239
  • Food Science 185
  • Biochemistry 52
  • Cognitive Neuroscience 139
Replace Huaping Zhang with:
Huaping Zhang China
Yafang Li China
Ye Ye China
Małgorzata Kowalska Poland
Karen A. F. Copeland United States
Pushpak Bhattacharyya India
Jiajun Liu China
Zhao Zhao China
Lijun Chen China
Kinley Larntz United States
Xiaoran Yan relative to Huaping Zhang China Huaping Zhang's profile →
Citations per field
00.5×9.3×
Huaping Zhang · 1×
Citations per year

Countries citing papers authored by Xiaoran Yan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoran Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The "Majority Illusion" in Social Networks
Hit paper breakdown →
2016537
2 2021143
3 202299
4 201975
5 202374
6 202165
7 202162
8 202262
9 201459
10 201851
11 202344
12 202235
13 201834
14 202132
15 201628
16 202025
17 202322
18 202415
19 201315
20 202214

About Xiaoran Yan

Xiaoran Yan is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Electrical and Electronic Engineering, Computer Networks and Communications and Information Systems, having authored 63 papers that have together received 1.7k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (13 papers), Nanocomposite Films for Food Packaging (9 papers), Advanced Graph Neural Networks (8 papers), Privacy-Preserving Technologies in Data (7 papers), Recommender Systems and Techniques (7 papers), Plasmonic and Surface Plasmon Research (6 papers), Photonic and Optical Devices (6 papers) and Opinion Dynamics and Social Influence (5 papers). The work is most often cited by research in Biomaterials (363 citations), Statistical and Nonlinear Physics (239 citations), Food Science (185 citations), Biochemistry (52 citations) and Cognitive Neuroscience (139 citations). Xiaoran Yan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Kristina Lerman, Xin-Zeng Wu, Xiangyou Wang, Meng Cheng, Juan Wang, Rongfei Zhang, Yingjun Cui, Peixin Zhao, Yirong Wang and Olaf Sporns. Their work appears in journals such as Scientific Reports, Industrial Crops and Products, IEEE Internet of Things Journal, PeerJ Computer Science and Food Hydrocolloids.

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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