Qin Wan

498 citations
42 papers · 376 indexed · h-index 11
Topics
Video Surveillance and Tracking Methods (10 papers)Machine Learning and ELM (5 papers)Advanced Image and Video Retrieval Techniques (5 papers)
Journals
SHILAP Revista de lepidopterologíaApplied Physics LettersConstruction and Building Materials

In The Last Decade

Qin Wan

37 papers receiving 365 citations

Peers

Qin Wan
Comparison fields: 5 of 72
  • Materials Chemistry 143
  • Electrical and Electronic Engineering 118
  • Biomedical Engineering 63
  • Computer Vision and Pattern Recognition 59
  • Artificial Intelligence 50
Replace Christoph Pieper with:
Christoph Pieper Germany
Piyush Kuchhal India
Wencheng Zhao China
Byungjo Kim South Korea
Zizheng Wang China
Nasir K. Memon United States
Sen Li China
Junjie Zhu China
Dingwen Wang China
Qin Wan relative to Christoph Pieper Germany Christoph Pieper's profile →
Citations per field
00.5×3.5×
Christoph Pieper · 1×
Citations per year

Countries citing papers authored by Qin Wan

Since Specialization
Citations

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

Fields of papers citing papers by Qin Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qin Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Qin Wan. A scholar is included among the top collaborators of Qin 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 Qin Wan. Qin 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 0
2 1
3 0
4 3
5 1
6 0
7 28
8 2
9 2
10 10
11 39
12 7
13 2
14
Tracking multiple video objects based on improved joint probabilistic data association
1
15 10
16 1
17 15
18 100
19 7
20 5

About Qin Wan

Qin Wan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 42 papers that have together received 376 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (10 papers), Machine Learning and ELM (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (21 citations), Materials Chemistry (143 citations) and Media Technology (26 citations). Qin Wan has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Ke Yu, Qingli Li, Feng Xu, Yaonan Wang, Bin Zhang, Xuewei Li, Guohai Jia, Bo Liu, Ru Wang and Zibin Yin. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Construction and Building Materials.

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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