Angran Li

684 citations
30 papers · 441 · h-index 12

Impact in

Papers in

    • Parental Involvement in Education 5
    • School Choice and Performance 4
    • Diverse Education Studies and Reforms 4
    • Advanced Numerical Analysis Techniques 6

Angran Li

28 papers receiving 427 citations

Peers

Angran Li
Comparison fields: 5 of 114
  • Computer Graphics and Computer-Aided Design 38
  • Computational Mechanics 111
  • Inorganic Chemistry 45
  • Education 90
  • Modeling and Simulation 14
Replace Sven Groß with:
Sven Groß Germany
Qianyi Chen China
Muhammad Safdar Pakistan
Douglas S. Goodman United States
Heather Dillon United States
Daniel N. Ostrov United States
Arindam Paul United States
David Rhodes Australia
Clemens Brechtelsbauer United Kingdom
Angran Li relative to Sven Groß Germany Sven Groß's profile →
Citations per field
00.5×11.3×
Sven Groß · 1×
Citations per year

Countries citing papers authored by Angran Li

Since Specialization
Citations

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

Fields of papers citing papers by Angran Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201973
2 201750
3 202041
4 201535
5 202223
6 201921
7 202019
8 202218
9 201917
10 202117
11 201815
12 201912
13 202211
14 202110
15 20219
16 20139
17 20148
18 20198
19 20228
20 20228

About Angran Li

Angran Li is a scholar working on Education, Computational Mechanics, Sociology and Political Science, Economics and Econometrics and General Health Professions, having authored 30 papers that have together received 441 indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (6 papers), Parental Involvement in Education (5 papers), School Choice and Performance (4 papers), Diverse Education Studies and Reforms (4 papers), COVID-19 Pandemic Impacts (3 papers), Metal-Organic Frameworks: Synthesis and Applications (3 papers), Employment and Welfare Studies (3 papers) and Magnetism in coordination complexes (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (38 citations), Computational Mechanics (111 citations), Inorganic Chemistry (45 citations), Education (90 citations) and Modeling and Simulation (14 citations). Angran Li has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Yongjie Zhang, Mary J. Fischer, Daniel Hamlin, Amir Barati Farimani, Thomas J.R. Hughes, Josef Kiendl, Xiaodong Wei, Ruijia Chen, Hugo Casquero and Deepesh Toshniwal. Their work appears in journals such as Scientific Reports, Social Science Research, Chinese Sociological Review, Sociology of Education and Computer Methods in Applied Mechanics and Engineering.

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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