Lumin Zhang

58 papers receiving 1.9k citations

Peers

Lumin Zhang
Comparison fields: 5 of 133
  • Computer Graphics and Computer-Aided Design 62
  • Electronic, Optical and Magnetic Materials 274
  • Cancer Research 153
  • Virology 49
  • Renewable Energy, Sustainability and the Environment 151
Replace Je–Ho Lee with:
Je–Ho Lee South Korea
Wenhao Yang China
Joon‐Young Kim South Korea
Xin Ji China
Jian Yang China
Benjamin Theek Germany
Hong Dai China
Liqing Chen China
Jing Jiang China
Lumin Zhang relative to Je–Ho Lee South Korea Je–Ho Lee's profile →
Citations per field
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Citations per year

Countries citing papers authored by Lumin Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Lumin Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018231
2 2013184
3 2004154
4
Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance
201183
5 201774
6 201869
7 201966
8 201663
9 201060
10
Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance
201157
11 202152
12 202450
13 202045
14 201745
15 202043
16 201140
17 201639
18 201736
19 201832
20 201231

About Lumin Zhang

Lumin Zhang is a scholar working on Molecular Biology, Epidemiology, Immunology, Statistical and Nonlinear Physics and Information Systems, having authored 59 papers that have together received 1.9k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (6 papers), HIV Research and Treatment (4 papers), Immune Cell Function and Interaction (4 papers), Supercapacitor Materials and Fabrication (4 papers), Herpesvirus Infections and Treatments (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Virus-based gene therapy research (3 papers) and Influenza Virus Research Studies (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (62 citations), Electronic, Optical and Magnetic Materials (274 citations), Cancer Research (153 citations), Virology (49 citations) and Renewable Energy, Sustainability and the Environment (151 citations). Lumin Zhang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Lei Wei, Jianjian Shi, Michelle Surma, Yang Yu, Meena B. Bansal, Carsten Rother, Peter Gehler, Bernhard Schölkopf, Martin Kiefel and Yatao Wu. Their work appears in journals such as Vaccine, Current Gene Therapy, Frontiers in Immunology, Oncotarget and Journal of Leukocyte Biology.

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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