Jingweijia Tan

451 citations
41 papers · 331 indexed · h-index 11
Topics
Parallel Computing and Optimization Techniques (20 papers)Radiation Effects in Electronics (15 papers)Advanced Memory and Neural Computing (8 papers)
Partner nations
ChinaUnited States

In The Last Decade

Jingweijia Tan

38 papers receiving 321 citations

Peers

Jingweijia Tan
Comparison fields: 5 of 38
  • Electrical and Electronic Engineering 222
  • Hardware and Architecture 179
  • Computer Networks and Communications 160
  • Artificial Intelligence 51
  • Computer Vision and Pattern Recognition 47
Replace Francisco Ribeiro with:
Francisco Ribeiro Portugal
Muhammad Ali Pakistan
Ramesh K. Karne United States
Gary Gréwal Canada
Weibei Fan China
Hyong S. Kim United States
Daniel Turner United States
Marco Lattuada Italy
Pravein Govindan Kannan Singapore
JoAnn M. Paul United States
Jingweijia Tan relative to Francisco Ribeiro Portugal Francisco Ribeiro's profile →
Citations per field
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Francisco Ribeiro · 1×
Citations per year

Countries citing papers authored by Jingweijia Tan

Since Specialization
Citations

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

Fields of papers citing papers by Jingweijia Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingweijia Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Jingweijia Tan. A scholar is included among the top collaborators of Jingweijia Tan 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 Jingweijia Tan. Jingweijia Tan 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
#WorkIndexed citations
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About Jingweijia Tan

Jingweijia Tan is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 41 papers that have together received 331 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (20 papers), Radiation Effects in Electronics (15 papers) and Advanced Memory and Neural Computing (8 papers). The work is most often cited by research in Hardware and Architecture (179 citations), Computer Networks and Communications (160 citations) and Computer Science Applications (22 citations). Jingweijia Tan has collaborated with scholars based in China and United States. Frequent co-authors include Xin Fu, Tao Li, Nilanjan Goswami, Xiaohui Wei, Shang Gao, Xingyao Zhang, Yongfang Wang, Shuaiwen Leon Song, Andrés Márquez and Darren J. Kerbyson. Their work appears in journals such as IEEE Access, Neurocomputing and IEEE Transactions on Computers.

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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