Jie Wan

726 citations
25 papers · 430 indexed · h-index 9
Topics
Context-Aware Activity Recognition Systems (9 papers)IoT and Edge/Fog Computing (5 papers)Vehicular Ad Hoc Networks (VANETs) (5 papers)
Journals
SHILAP Revista de lepidopterologíaApplied EnergyIEEE Access

In The Last Decade

Jie Wan

21 papers receiving 410 citations

Peers

Jie Wan
Comparison fields: 5 of 78
  • Computer Networks and Communications 203
  • Computer Vision and Pattern Recognition 179
  • Electrical and Electronic Engineering 121
  • Biomedical Engineering 100
  • Information Systems 58
Replace Labiba Gillani Fahad with:
Labiba Gillani Fahad Pakistan
Guilin Chen China
Niall Twomey United Kingdom
Diana Yacchirema Spain
Qin Ni China
E. Ramanujam India
Dario Bottazzi Italy
Sungyong Lee South Korea
Ana B. García Spain
Marco Bassoli Italy
Jie Wan relative to Labiba Gillani Fahad Pakistan Labiba Gillani Fahad's profile →
Citations per field
00.5×1.5×2.4×
Labiba Gillani Fahad · 1×
Citations per year

Countries citing papers authored by Jie Wan

Since Specialization
Citations

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

Fields of papers citing papers by Jie Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jie Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Jie Wan. A scholar is included among the top collaborators of Jie Wan 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 Jie Wan. Jie Wan 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 2
2 0
3 0
4 1
5 4
6 3
7 7
8 8
9 2
10 7
11 8
12 1
13 167
14 13
15 25
16 25
17 15
18
Towards Holistic Activity Modeling and Behavioral Analyses
1
19 1
20 17

About Jie Wan

Jie Wan is a scholar working on Computer Science Applications, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 25 papers that have together received 430 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (9 papers), IoT and Edge/Fog Computing (5 papers) and Vehicular Ad Hoc Networks (VANETs) (5 papers). The work is most often cited by research in Computer Networks and Communications (203 citations), Computer Vision and Pattern Recognition (179 citations) and Transportation (31 citations). Jie Wan has collaborated with scholars based in China, Ireland and United States. Frequent co-authors include Michael J. O’Grady, G. M. P. O’Hare, Xiang Gu, Mingsong Li, Jin Wang, Ning Cao, Jin Wang, Liang Chen, Conor Muldoon and Youyuan Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Energy and IEEE Access.

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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