Jiayi Wang

604 total citations
48 papers, 263 citations indexed

About

Jiayi Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Jiayi Wang has authored 48 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 6 papers in Computer Networks and Communications. Recurrent topics in Jiayi Wang's work include Topic Modeling (5 papers), Video Surveillance and Tracking Methods (4 papers) and Multimodal Machine Learning Applications (4 papers). Jiayi Wang is often cited by papers focused on Topic Modeling (5 papers), Video Surveillance and Tracking Methods (4 papers) and Multimodal Machine Learning Applications (4 papers). Jiayi Wang collaborates with scholars based in China, United States and Italy. Jiayi Wang's co-authors include Chengliang Chai, Jiabin Liu, Shiqiang Wang, Guoliang Li, Rong‐Rong Chen, Mingyue Ji, Hai Zhao, Kai Fan, Boxing Chen and Bo Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioresource Technology and IEEE Access.

In The Last Decade

Jiayi Wang

42 papers receiving 258 citations

Peers

Jiayi Wang
Comparison fields: 5 of 70
  • Artificial Intelligence 142
  • Computer Vision and Pattern Recognition 58
  • Computer Networks and Communications 57
  • Signal Processing 36
  • Information Systems 34
Replace Prerna Mahajan with:
Prerna Mahajan India
Matthias Baumgarten United Kingdom
Yiyang Yao China
Ali Shahin Shamsabadi United Kingdom
C. Nalini India
Anit Kumar Sahu United States
Borja Balle United Kingdom
Arjun Nitin Bhagoji United States
Hui Qi China
Safia Abbas Egypt
Prerna Mahajan India View profile →
Citations per field, relative to Jiayi Wang
Jiayi Wang · 1×
Citations per year, relative to Jiayi Wang
Jiayi Wang · 1×

Countries citing papers authored by Jiayi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jiayi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiayi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jiayi Wang. A scholar is included among the top collaborators of Jiayi 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 Jiayi Wang. Jiayi 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 0
2 1
3 1
4 6
5 1
6 3
7 0
8 2
9 3
10 3
11 45
12 0
13 6
14 9
15 3
16 44
17 1
18 4
19
Decision Making Supporting System on Rate of Fertilization of Rice in Southeast Coast Areas of Fujiang Province Based on RCSODS
1
20
The difficulties that confront the development of higher education in western regions and countermeasures
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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