Wenjing Wu

738 citations
13 papers · 510 indexed · 1 hit paper · h-index 6
Topics
Medical Imaging Techniques and Applications (3 papers)Advanced Neural Network Applications (3 papers)Advanced Image and Video Retrieval Techniques (3 papers)
Partner nations
ChinaJapanUnited States

In The Last Decade

Wenjing Wu

11 papers receiving 493 citations

Hit Papers

SeaShips: A Large-Scale Precisely Annotated Dataset for S...2018202620202023201850100150200250

Peers

Wenjing Wu
Comparison fields: 5 of 73
  • Computer Vision and Pattern Recognition 335
  • Ocean Engineering 206
  • Aerospace Engineering 163
  • Media Technology 53
  • Artificial Intelligence 49
Replace Haiwen Yuan with:
Haiwen Yuan China
Michael Teutsch Germany
Fausto Ferreira Italy
Pinhao Song China
Jiucai Jin China
Yuwei Cheng China
Xinwei Zheng China
Nathaniel Fairfield United States
Wei Ye China
Wenjing Wu relative to Haiwen Yuan China Haiwen Yuan's profile →
Citations per field
00.5×2.5×
Haiwen Yuan · 1×
Citations per year

Countries citing papers authored by Wenjing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Wenjing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenjing Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Wenjing Wu. A scholar is included among the top collaborators of Wenjing Wu 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 Wenjing Wu. Wenjing Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 0
2 0
3 10
4 7
5 2
6 7
7 7
8 177
9 1
10
SeaShips: A Large-Scale Precisely Annotated Dataset for Ship Detectionbreakdown →
295
11 1
12
Cobalt chromium-based biodegradable polymer sirolimus-eluting stent: rationale, evidence and clinical experience.
1
13
Partial CT and Structural Analysis with 950 Kev/3.95 Mev X-Band Linac X-Ray Sources
2

About Wenjing Wu

Wenjing Wu is a scholar working on Electrochemistry, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 510 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (3 papers), Advanced Neural Network Applications (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (335 citations), Ocean Engineering (206 citations) and Aerospace Engineering (163 citations). Wenjing Wu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Zhenfeng Shao, Zhongyuan Wang, Wan Du, Chengyuan Li, Linggang Wang, Huiyi Liu, Feng‐Lei Jiang, Yi Liu, Changsheng Zhang and Jiale Qin. Their work appears in journals such as Langmuir, Chemosphere and IEEE Transactions on Circuits and Systems for Video Technology.

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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