Lei Ni

3.1k total citations
55 papers, 1.6k citations indexed

About

Lei Ni is a scholar working on Applied Mathematics, Geometry and Topology and Astronomy and Astrophysics. According to data from OpenAlex, Lei Ni has authored 55 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Applied Mathematics, 44 papers in Geometry and Topology and 23 papers in Astronomy and Astrophysics. Recurrent topics in Lei Ni's work include Geometric Analysis and Curvature Flows (51 papers), Geometry and complex manifolds (41 papers) and Advanced Differential Geometry Research (20 papers). Lei Ni is often cited by papers focused on Geometric Analysis and Curvature Flows (51 papers), Geometry and complex manifolds (41 papers) and Advanced Differential Geometry Research (20 papers). Lei Ni collaborates with scholars based in United States, China and Taiwan. Lei Ni's co-authors include Peng Lü, Bennett Chow, Luen-Fai Tam, Nolan R. Wallach, Brett Kotschwar, Dan Knopf, Ben Andrews, David Glickenstein, Tom Ivey and Feng Luo and has published in prestigious journals such as Communications on Pure and Applied Mathematics, Transactions of the American Mathematical Society and Inventiones mathematicae.

In The Last Decade

Lei Ni

54 papers receiving 1.5k citations

Peers

Lei Ni
Comparison fields: 5 of 44
  • Applied Mathematics 1.6k
  • Geometry and Topology 1.3k
  • Astronomy and Astrophysics 699
  • Mathematical Physics 142
  • Computational Theory and Mathematics 94
Replace Guofang Wei with:
Guofang Wei United States
Paul Baird France
Dan Knopf United States
Huai-Dong Cao United States
Peter M. Topping United Kingdom
Oldřich Kowalski Czechia
Aurel Bejancu Kuwait
F. Tricerri Italy
Shûkichi Tanno Japan
Wolfgang Ziller United States
Guofang Wei United States View profile →
Citations per field, relative to Lei Ni
Lei Ni · 1×
Citations per year, relative to Lei Ni
Lei Ni · 1×

Countries citing papers authored by Lei Ni

Since Specialization
Citations

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

Fields of papers citing papers by Lei Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Ni

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 14
3 9
4 33
5 42
6 5
7 3
8 15
9 20
10
Geometric-analytic aspects
3
11 48
12 66
13 55
14 87
15 150
16 237
17 21
18 36
19 12
20 25

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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