Jiaming Lv

837 citations
37 papers · 599 · 1 hit paper · h-index 11

Impact in

Papers in

Jiaming Lv

31 papers receiving 582 citations

Jiaming Lv's Hit Papers

Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification 2022 · 198 citations
1980+1+2Years since publication50100150

Peers

Jiaming Lv
Comparison fields: 5 of 103
  • Nephrology 48
  • Cancer Research 73
  • Computer Vision and Pattern Recognition 91
  • Artificial Intelligence 143
  • Media Technology 26
Replace Gabriel Dawei Yang with:
Gabriel Dawei Yang China
Hasan Tahir Abbas United Kingdom
Yuki Saito Japan
Mingming Liu China
Yin Li China
Guozhen Wang China
Xingyu He China
Jiaming Lv relative to Gabriel Dawei Yang China Gabriel Dawei Yang's profile →
Citations per field
00.5×2×2.8×
Gabriel Dawei Yang · 1×
Citations per year

Countries citing papers authored by Jiaming Lv

Since Specialization
Citations

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

Fields of papers citing papers by Jiaming Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jiaming 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 Jiaming Lv Line = papers co-authored together Jiaming Lv links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification
Hit paper breakdown →
2022198
2 2022101
3 202135
4 202132
5 202126
6 202025
7 202025
8 202219
9 201816
10 202213
11 202211
12 202411
13 202010
14 20229
15 20238
16 20248
17 20258
18 20246
19 20216
20 20254

About Jiaming Lv

Jiaming Lv is a scholar working on Nephrology, Safety Research, Otorhinolaryngology, Bioengineering and Physiology, having authored 37 papers that have together received 599 indexed citations. Recurring topics across this work include Advanced Fiber Optic Sensors (5 papers), Gout, Hyperuricemia, Uric Acid (3 papers), Alzheimer's disease research and treatments (3 papers), High voltage insulation and dielectric phenomena (3 papers), Forensic Fingerprint Detection Methods (3 papers), Forensic and Genetic Research (3 papers), Head and Neck Cancer Studies (2 papers) and Asymmetric Hydrogenation and Catalysis (2 papers). The work is most often cited by research in Nephrology (48 citations), Cancer Research (73 citations), Computer Vision and Pattern Recognition (91 citations), Artificial Intelligence (143 citations) and Media Technology (26 citations). Jiaming Lv has collaborated with scholars based in China, Japan and Malaysia. Frequent co-authors include Peihua Li, Fei Long, Qilong Wang, Jiangtao Xie, Jidong Cheng, Hairong Zhao, Furong He, Qiang Wang, Yiting Yu and De Xie. Their work appears in journals such as Optics Express, Scientific Reports, Free Radical Biology and Medicine, International Journal of Hydrogen Energy and Journal of the American Chemical Society.

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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