Li Si

685 citations
52 papers · 474 · h-index 12

Impact in

Papers in

Li Si

41 papers receiving 432 citations

Peers

Li Si
Comparison fields: 5 of 64
  • Library and Information Sciences 92
  • Information Systems 237
  • Statistics, Probability and Uncertainty 29
  • Artificial Intelligence 113
  • General Social Sciences 7
Replace Rupak Chakravarty with:
Rupak Chakravarty India
Adebowale Jeremy Adetayo Nigeria
Michael Ridley Canada
Margam Madhusudhan India
Francisco Javier García Marco Spain
José Antônio Moreiro González Spain
George Macgregor United Kingdom
Sharon Q. Yang United States
Carol A. Hert United States
Mirja Iivonen Finland
Li Si relative to Rupak Chakravarty India Rupak Chakravarty's profile →
Citations per field
00.5×5×10×13.7×
Rupak Chakravarty · 1×
Citations per year

Countries citing papers authored by Li Si

Since Specialization
Citations

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

Fields of papers citing papers by Li Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201552
2 201346
3
SSHLDA: A Semi-Supervised Hierarchical Topic Model
201245
4 201944
5 202338
6 201135
7 201128
8 202422
9 201218
10 201016
11 202214
12 202313
13 202110
14 20239
15 20178
16 20238
17 20126
18 20226
19 20155
20 20185

About Li Si

Li Si is a scholar working on Information Systems, Library and Information Sciences, Artificial Intelligence, Statistics, Probability and Uncertainty and Management Information Systems, having authored 52 papers that have together received 474 indexed citations. Recurring topics across this work include Web and Library Services (9 papers), Library Science and Information Literacy (7 papers), Library Science and Information (6 papers), Topic Modeling (5 papers), Sentiment Analysis and Opinion Mining (5 papers), Research Data Management Practices (5 papers), scientometrics and bibliometrics research (4 papers) and Library Science and Information Systems (4 papers). The work is most often cited by research in Library and Information Sciences (92 citations), Information Systems (237 citations), Statistics, Probability and Uncertainty (29 citations), Artificial Intelligence (113 citations) and General Social Sciences (7 citations). Li Si has collaborated with scholars based in China, Singapore and Saudi Arabia. Frequent co-authors include Limei Zhou, Zhaoyan Ming, Tat‐Seng Chua, Weiran Xu, Jun Hai Guo, Xian-Ling Mao, Hongfei Yan, Xiaoming Li, Meng Wang and Ahmed Alsanad. Their work appears in journals such as The Electronic Library, Sustainability, Aslib Journal of Information Management, Library Hi Tech and The Journal of Academic Librarianship.

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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