Xin’an Wang

876 total citations
142 papers, 557 citations indexed

About

Xin’an Wang is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Xin’an Wang has authored 142 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Electrical and Electronic Engineering, 27 papers in Computer Vision and Pattern Recognition and 21 papers in Artificial Intelligence. Recurrent topics in Xin’an Wang's work include Advanced Memory and Neural Computing (18 papers), RFID technology advancements (14 papers) and Energy Harvesting in Wireless Networks (13 papers). Xin’an Wang is often cited by papers focused on Advanced Memory and Neural Computing (18 papers), RFID technology advancements (14 papers) and Energy Harvesting in Wireless Networks (13 papers). Xin’an Wang collaborates with scholars based in China, United States and Belgium. Xin’an Wang's co-authors include Jing Quan, Qing Hu, Roop L. Mahajan, Xiaoxin Cui, Jinfeng Kang, Zheng Xie, Yuan Wang, Yong Zhao, Pu Huang and Wei‐Bo Hu and has published in prestigious journals such as Journal of The Electrochemical Society, Scientific Reports and Communications of the ACM.

In The Last Decade

Xin’an Wang

119 papers receiving 518 citations

Peers

Xin’an Wang
Comparison fields: 5 of 106
  • Electrical and Electronic Engineering 251
  • Artificial Intelligence 94
  • Aerospace Engineering 80
  • Computer Vision and Pattern Recognition 61
  • Biomedical Engineering 61
Replace Fan Dang with:
Fan Dang China
Sajjad Mohsin Pakistan
Meiqi Wang China
Ting Cao China
Fadi N. Sibai United Arab Emirates
Aznul Qalid Md Sabri Malaysia
Anil Kumar Budati India
Shi Shao-bo China
Tailin Liang China
Haowen Fang United States
Fan Dang China View profile →
Citations per field, relative to Xin’an Wang
Xin’an Wang · 1×
Citations per year, relative to Xin’an Wang
Xin’an Wang · 1×

Countries citing papers authored by Xin’an Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xin’an Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin’an Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xin’an Wang. A scholar is included among the top collaborators of Xin’an Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xin’an Wang. Xin’an Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 1
3 1
4 2
5 3
6 0
7 0
8 0
9 11
10 1
11 2
12 2
13 12
14 4
15 25
16 7
17 3
18 3
19 3
20 1

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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