Li Si

648 citations
51 papers · 384 · h-index 11

Impact in

Papers in

    • Topic Modeling 8
    • Advanced Text Analysis Techniques 7
    • Text and Document Classification Technologies 6
    • Sentiment Analysis and Opinion Mining 5
    • Web and Library Services 8
    • Research Data Management Practices 4

Li Si

41 papers receiving 350 citations

Peers

Li Si
Comparison fields: 5 of 80
  • Library and Information Sciences 52
  • Information Systems and Management 84
  • Information Systems 219
  • Management Science and Operations Research 69
  • Communication 28
Replace Giannis Tsakonas with:
Giannis Tsakonas Greece
Richard J. Hartley United Kingdom
Jarmo Saarti Finland
Kenning Arlitsch United States
Maja Žumer Slovenia
Sharon Q. Yang United States
Dorothea Salo United States
Sudatta Chowdhury United Kingdom
Yan Quan Liu United States
Christian Schlögl Austria
Li Si relative to Giannis Tsakonas Greece Giannis Tsakonas's profile →
Citations per field
00.5×11×
Giannis Tsakonas · 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 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201549
2 201341
3 201940
4
SSHLDA: A Semi-Supervised Hierarchical Topic Model
201236
5 201127
6 202326
7 201122
8 201218
9 201013
10 202211
11 202410
12 20238
13 20218
14 20237
15 20177
16 20236
17 20126
18 20155
19 20054
20 20224

About Li Si

Li Si is a scholar working on Artificial Intelligence, Information Systems, Management Science and Operations Research, Communication and Information Systems and Management, having authored 51 papers that have together received 384 indexed citations. Recurring topics across this work include Web and Library Services (8 papers), Topic Modeling (8 papers), Data Quality and Management (7 papers), Advanced Text Analysis Techniques (7 papers), Text and Document Classification Technologies (6 papers), Sentiment Analysis and Opinion Mining (5 papers), Research Data Management Practices (4 papers) and Wikis in Education and Collaboration (4 papers). The work is most often cited by research in Library and Information Sciences (52 citations), Information Systems and Management (84 citations), Information Systems (219 citations), Management Science and Operations Research (69 citations) and Communication (28 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, Xian-Ling Mao, Jun Guo, Xiaoming Li, Hongfei Yan, Hao Zhang and Meng Wang. Their work appears in journals such as The Electronic Library, Sustainability, Library Hi Tech, Aslib Journal of Information Management and Library Management.

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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