Jun Lv

1.3k citations
34 papers · 860 · h-index 17

Impact in

Papers in

Jun Lv

33 papers receiving 841 citations

Peers

Jun Lv
Comparison fields: 5 of 116
  • Computer Vision and Pattern Recognition 297
  • Human-Computer Interaction 72
  • Radiology, Nuclear Medicine and Imaging 243
  • Media Technology 44
  • Cognitive Neuroscience 95
Replace Chuanfei Hu with:
Chuanfei Hu China
Hui Tang China
Nanik Suciati Indonesia
Peter Peer Slovenia
Konstantinos Rapantzikos Greece
Keze Wang China
Ziming Liu China
Ying Cao China
Qilin Zhang China
Rahul Chauhan India
Jun Lv relative to Chuanfei Hu China Chuanfei Hu's profile →
Citations per field
00.5×5.7×
Chuanfei Hu · 1×
Citations per year

Countries citing papers authored by Jun Lv

Since Specialization
Citations

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

Fields of papers citing papers by Jun Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Lv, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Lv Line = papers co-authored together Jun Lv links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202096
2 201273
3 202169
4 202263
5 201061
6 202152
7 201752
8 202249
9 202139
10 202035
11 202230
12 202125
13 202120
14 202219
15 202219
16 202118
17 202116
18 202216
19 201513
20 202112

About Jun Lv

Jun Lv is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biomedical Engineering, Cognitive Neuroscience and Artificial Intelligence, having authored 34 papers that have together received 860 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (11 papers), Medical Imaging Techniques and Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), EEG and Brain-Computer Interfaces (3 papers), Advanced Image Processing Techniques (3 papers), Neuroscience and Neural Engineering (2 papers), Image Processing and 3D Reconstruction (2 papers) and Image Processing Techniques and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (297 citations), Human-Computer Interaction (72 citations), Radiology, Nuclear Medicine and Imaging (243 citations), Media Technology (44 citations) and Cognitive Neuroscience (95 citations). Jun Lv has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Chengyan Wang, Guang Yang, Guangyuan Li, Yuanqing Li, Jue Zhang, Zhenghui Gu, Xiangrong Tong, Xiaoying Wang, Ming Yang and Yuke Zhu. Their work appears in journals such as Medical Physics, International Journal of Environmental Research and Public Health, IEEE Access, British Journal of Radiology and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

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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