Li Wang

312 papers receiving 6.5k citations

Li Wang's Hit Papers

Reversed graph embedding resolves complex single-cell trajectories 2017 · 2.8k citations
2.8k0+3+6Years since publication50010001.5k2.0k2.5k

Peers

Li Wang
Comparison fields: 5 of 221
  • Computational Mathematics 73
  • Library and Information Sciences 56
  • Immunology 701
  • Biophysics 185
  • Cancer Research 393
Replace Jean‐Loup Guillaume with:
Jean‐Loup Guillaume France
James Zou United States
Ming‐Wei Lin Taiwan
Qi Liu China
Hua Wang China
Zan Huang China
Ying Ding China
Blaž Zupan Slovenia
Richard A. Johnson United States
Liang Wang China
Li Wang relative to Jean‐Loup Guillaume France Jean‐Loup Guillaume's profile →
Citations per field
00.5×11.2×
Jean‐Loup Guillaume · 1×
Citations per year

Countries citing papers authored by Li Wang

Since Specialization
Citations

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

Fields of papers citing papers by Li Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 369 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Reversed graph embedding resolves complex single-cell trajectories
Hit paper breakdown →
20172779
2 2020196
3 2017174
4 2018137
5 2013124
6 2020110
7 201983
8 201481
9 200781
10 201079
11 200775
12 201157
13 201753
14 201251
15 201650
16 201050
17 201149
18 201548
19 202043
20 201942

About Li Wang

Li Wang is a scholar working on Information Systems, Artificial Intelligence, Electrical and Electronic Engineering, Education and Computer Networks and Communications, having authored 369 papers that have together received 6.7k indexed citations. Recurring topics across this work include Advanced Computational Techniques and Applications (11 papers), Auditing, Earnings Management, Governance (11 papers), Service-Oriented Architecture and Web Services (8 papers), Corporate Finance and Governance (8 papers), graph theory and CDMA systems (8 papers), Distributed and Parallel Computing Systems (8 papers), Biofuel production and bioconversion (8 papers) and Smart Grid Energy Management (7 papers). The work is most often cited by research in Computational Mathematics (73 citations), Library and Information Sciences (56 citations), Immunology (701 citations), Biophysics (185 citations) and Cancer Research (393 citations). Li Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Qi Mao, Hannah A. Pliner, Ying Tang, Xiaojie Qiu, Cole Trapnell, Raghav Chawla, Pervaiz Alam, Jing Wang, Kholekile L. Gwebu and Jiawang Nie. Their work appears in journals such as Frontiers in Psychology, Systems Research and Behavioral Science, Information Technology and Management, Sustainability and Journal of Combinatorial Designs.

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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