Jianshan Sun

72 papers receiving 2.0k citations

Hit Papers

An investigation on online reviews in sharing economy driven hospitality platforms: A viewpoint of trust 2018 · 275 citations
2752013202620172021100200300

Peers

Jianshan Sun
Comparison fields: 5 of 124
  • Marketing 316
  • Information Systems and Management 216
  • Artificial Intelligence 884
  • Communication 133
  • Information Systems 396
Replace Fei Liu with:
Fei Liu China
Young‐Gab Kim South Korea
Hemant Jain United States
Arun Vishwanath Australia
Yezheng Liu China
Wingyan Chung United States
Debajyoti Pal Thailand
Jeffrey Parsons Canada
Markus Zanker Austria
Luning Liu China
Jianshan Sun relative to Fei Liu China Fei Liu's profile →
Citations per field
00.5×1.7×
Fei Liu · 1×
Citations per year

Countries citing papers authored by Jianshan Sun

Since Specialization
Citations

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

Fields of papers citing papers by Jianshan Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
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Leveraging Cross Domain Recommendation Models to Alleviate Filter Bubble Problems
20201
16 201934
17 20162
18 201517
19 201467
20 20138

About Jianshan Sun

Jianshan Sun is a scholar working on Computer Science Applications, Computational Mathematics, Statistical and Nonlinear Physics, Information Systems and Artificial Intelligence, having authored 77 papers that have together received 2.1k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (25 papers), Complex Network Analysis Techniques (16 papers), Advanced Graph Neural Networks (11 papers), Digital Marketing and Social Media (9 papers), Expert finding and Q&A systems (9 papers), Sentiment Analysis and Opinion Mining (8 papers), Topic Modeling (7 papers) and Text and Document Classification Technologies (6 papers). The work is most often cited by research in Marketing (316 citations), Information Systems and Management (216 citations), Artificial Intelligence (884 citations), Communication (133 citations) and Information Systems (396 citations). Jianshan Sun has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiongfei Cao, Gang Wang, Yuanchun Jiang, Yezheng Liu, Jian Ma, Xusen Cheng, Shixuan Fu, Kaiquan Xu, Anil Bilgihan and Fevzi Okumuş. Their work appears in journals such as Information Processing & Management, Journal of Information Science, British Journal of Educational Technology, ACM Transactions on Information Systems and ACM Transactions on Knowledge Discovery from Data.

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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