Lian Wu

963 citations
64 papers · 639 · h-index 14

Impact in

Papers in

    • Advanced Harmonic Analysis Research 27
    • Nonlinear Partial Differential Equations 8
    • Advanced Banach Space Theory 18
    • Advanced Operator Algebra Research 11
    • Advanced Mathematical Physics Problems 7

Lian Wu

54 papers receiving 622 citations

Peers

Lian Wu
Comparison fields: 5 of 93
  • Applied Mathematics 277
  • Mathematical Physics 224
  • Biochemistry 62
  • Horticulture 8
  • Plant Science 183
Replace Yaping Yuan with:
Yaping Yuan China
Helen Booker Canada
Xiaomin Hao China
Yue Lu China
Xiaofeng Tan China
Varsha Chhotusing Pardeshi India
Shan Tang China
Wenqian Hou China
Yan Tong China
Motoki Shimizu Japan
Lian Wu relative to Yaping Yuan China Yaping Yuan's profile →
Citations per field
00.5×20×40×60×80×92.3×
Yaping Yuan · 1×
Citations per year

Countries citing papers authored by Lian Wu

Since Specialization
Citations

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

Fields of papers citing papers by Lian Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201859
2 201853
3 201646
4 199841
5 201835
6 202035
7 199830
8 199922
9 201722
10 201519
11 201315
12 202014
13 201513
14 202213
15 201412
16 202311
17 201711
18 201810
19 20179
20 20249

About Lian Wu

Lian Wu is a scholar working on Applied Mathematics, Mathematical Physics, Plant Science, Molecular Biology and Genetics, having authored 64 papers that have together received 639 indexed citations. Recurring topics across this work include Advanced Harmonic Analysis Research (27 papers), Advanced Banach Space Theory (18 papers), Advanced Operator Algebra Research (11 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers), Nonlinear Partial Differential Equations (8 papers), Genomics and Phylogenetic Studies (7 papers), Rice Cultivation and Yield Improvement (7 papers) and Advanced Mathematical Physics Problems (7 papers). The work is most often cited by research in Applied Mathematics (277 citations), Mathematical Physics (224 citations), Biochemistry (62 citations), Horticulture (8 citations) and Plant Science (183 citations). Lian Wu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Yong Jiao, Dejian Zhou, Jason T. C. Tzen, Zhengjin Xu, Narcisse Randrianantoanina, Yi Rui, Quan Xu, Xiukun Li, Xuhong Wang and Xin Geng. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Functional Analysis, Animals, Mathematische Nachrichten and Frontiers in Plant Science.

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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