Jinbo Wen

772 citations
38 papers · 486 indexed · h-index 13
Topics
IoT and Edge/Fog Computing (9 papers)Blockchain Technology Applications and Security (7 papers)Transportation and Mobility Innovations (6 papers)
Partner nations
ChinaSingaporeHong Kong

In The Last Decade

Jinbo Wen

35 papers receiving 478 citations

Peers

Jinbo Wen
Comparison fields: 5 of 108
  • Computer Networks and Communications 107
  • Artificial Intelligence 85
  • Information Systems 66
  • Molecular Biology 61
  • Oncology 57
Replace Muhammad Sheraz Arshad Malik with:
Muhammad Sheraz Arshad Malik Pakistan
Smita Sharma India
Areej Alasiry Saudi Arabia
Priyanka Kaushik India
Noemi Scarpato Italy
Hani Alshahrani Saudi Arabia
Siyamalan Manivannan Sri Lanka
Tayyaba Anees Pakistan
Jianfu Xia China
Jinbo Wen relative to Muhammad Sheraz Arshad Malik Pakistan Muhammad Sheraz Arshad Malik's profile →
Citations per field
00.5×12×
Muhammad Sheraz Arshad Malik · 1×
Citations per year

Countries citing papers authored by Jinbo Wen

Since Specialization
Citations

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

Fields of papers citing papers by Jinbo Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinbo Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Jinbo Wen. A scholar is included among the top collaborators of Jinbo Wen 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 Jinbo Wen. Jinbo Wen 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
1 1
2 6
3 0
4 0
5 1
6 39
7 2
8 7
9 2
10 17
11 57
12 28
13 11
14 9
15 11
16 10
17 17
18 10
19 18
20 22

About Jinbo Wen

Jinbo Wen is a scholar working on Health Informatics, Computer Networks and Communications and Automotive Engineering, having authored 38 papers that have together received 486 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (9 papers), Blockchain Technology Applications and Security (7 papers) and Transportation and Mobility Innovations (6 papers). The work is most often cited by research in Health Informatics (9 citations), Computer Networks and Communications (107 citations) and Automotive Engineering (37 citations). Jinbo Wen has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Jiawen Kang, Dusit Niyato, Jiangtian Nie, Yang Zhang, Hongyang Du, Shengli Xie, Zehui Xiong, Hongmei Yong, Zhenqing Feng and Wei Zhao. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Environmental Research and Public Health.

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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