Xiaofen Wang

2.4k citations
86 papers · 1.7k · h-index 18

Impact in

Papers in

Xiaofen Wang

81 papers receiving 1.7k citations

Peers

Xiaofen Wang
Comparison fields: 5 of 128
  • Artificial Intelligence 775
  • Information Systems 519
  • Neurology 136
  • Computer Networks and Communications 296
  • Epidemiology 296
Replace Jun Feng with:
Jun Feng China
Yuanlong Li China
Jianqing Liu China
Xin Jiang China
Lei Cao China
Ahmet Saçan United States
Hongju Cheng China
Kun Zhang United States
Xiaoying Gao New Zealand
Xiaofen Wang relative to Jun Feng China Jun Feng's profile →
Citations per field
00.5×4.2×
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Citations per year

Countries citing papers authored by Xiaofen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013442
2 2015173
3 2016151
4 201988
5 201877
6 201876
7 202069
8 201465
9 202247
10 202036
11 202032
12 201631
13 201625
14 202125
15 201923
16 202023
17 201517
18 201417
19 201916
20 201716

About Xiaofen Wang

Xiaofen Wang is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering and Computational Theory and Mathematics, having authored 86 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cryptography and Data Security (37 papers), Privacy-Preserving Technologies in Data (23 papers), Cloud Data Security Solutions (10 papers), Blockchain Technology Applications and Security (9 papers), Advancements in Battery Materials (7 papers), Advanced Authentication Protocols Security (6 papers), Advanced Battery Materials and Technologies (6 papers) and Complexity and Algorithms in Graphs (6 papers). The work is most often cited by research in Artificial Intelligence (775 citations), Information Systems (519 citations), Neurology (136 citations), Computer Networks and Communications (296 citations) and Epidemiology (296 citations). Xiaofen Wang has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Yi Mu, Rongmao Chen, Guomin Yang, Fuchun Guo, Xiaosong Zhang, Yao Shen, Weiwei Hu, Xiangnan Zhang, Guanghui Wang and Jieqiong Gao. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Industrial Informatics, IEEE Transactions on Information Forensics and Security, Information Sciences and Pediatric Allergy and Immunology.

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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