Xiaodan Yan

1.4k citations
53 papers · 1.1k · h-index 18

Impact in

Papers in

Xiaodan Yan

49 papers receiving 1.1k citations

Peers

Xiaodan Yan
Comparison fields: 5 of 125
  • Endocrine and Autonomic Systems 109
  • Automotive Engineering 138
  • Signal Processing 88
  • Behavioral Neuroscience 27
  • Cognitive Neuroscience 129
Replace Yang Xia with:
Yang Xia China
Baoxin Li United States
Giovanni Calcagnini Italy
Jeffrey R. Davis United States
Wei Du China
Wen Zhong China
Xiao Liu United States
Xiaoming Deng China
Xizhe Zhang China
Ju‐Wan Kim South Korea
Xiaodan Yan relative to Yang Xia China Yang Xia's profile →
Citations per field
00.5×9.9×
Yang Xia · 1×
Citations per year

Countries citing papers authored by Xiaodan Yan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodan Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201498
2 202083
3 201579
4 201371
5 202069
6 201962
7 201160
8 201547
9 201844
10 202041
11 201739
12 201335
13 201635
14 201330
15 202129
16 201626
17 201126
18 201825
19 201117
20 202017

About Xiaodan Yan

Xiaodan Yan is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Automotive Engineering, Artificial Intelligence and Information Systems, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advancements in Battery Materials (13 papers), Advanced Battery Materials and Technologies (12 papers), Advanced Battery Technologies Research (8 papers), Network Security and Intrusion Detection (5 papers), Supercapacitor Materials and Fabrication (4 papers), Advanced Malware Detection Techniques (4 papers), High Altitude and Hypoxia (4 papers) and Functional Brain Connectivity Studies (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (109 citations), Automotive Engineering (138 citations), Signal Processing (88 citations), Behavioral Neuroscience (27 citations) and Cognitive Neuroscience (129 citations). Xiaodan Yan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Lingzhi Zhang, Yang Xu, Baojiang Cui, Qiyong Gong, Haoxiang Zhong, Jiaxing Zhang, Xuchu Weng, Xinyue Zhao, Xiaofei Xing and Zihao Guo. Their work appears in journals such as Ionics, Journal of Power Sources, Applied Sciences, IEEE Transactions on Industrial Informatics and High Altitude Medicine & Biology.

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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