Shaochen Zhong

864 citations
6 papers · 422 · 2 hit papers · h-index 4

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Topic Modeling
    • Natural Language Processing Techniques
    • Semantic Web and Ontologies
    • Privacy-Preserving Technologies in Data

Papers in

    • Topic Modeling 2
    • Machine Learning and Data Classification 1
    • Privacy-Preserving Technologies in Data 1
    • Anomaly Detection Techniques and Applications 1
    • Data Stream Mining Techniques 1
    • Logic, Reasoning, and Knowledge 1

Shaochen Zhong

5 papers receiving 410 citations

Shaochen Zhong's Hit Papers

Data-centric Artificial Intelligence: A Survey 2025 · 89 citations
890+1Years since publication100200300

Peers

Shaochen Zhong
Comparison fields: 5 of 86
  • Health Informatics 38
  • Artificial Intelligence 182
  • Software 10
  • Information Systems 55
  • Computer Science Applications 12
Replace Hongye Jin with:
Hongye Jin United States
Hengyi Cai China
Yun-Cheng Wang United States
Yanghe Pan China
Hanjie Chen United States
Qingxiu Dong China
Arvind W. Kiwelekar India
Jörg Schlötterer Germany
Xinxi Lyu United States
Shaochen Zhong relative to Hongye Jin United States Hongye Jin's profile →
Citations per field
00.5×1.5×2×2.4×
Hongye Jin · 1×
Citations per year

Countries citing papers authored by Shaochen Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Shaochen Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
Hit paper breakdown →
2024324
2
Data-centric Artificial Intelligence: A Survey
Hit paper breakdown →
202589
3 20244
4 20244
5 20251
6 20250

About Shaochen Zhong

Shaochen Zhong is a scholar working on Artificial Intelligence, Health Informatics, Hardware and Architecture, Computational Theory and Mathematics and Information Systems, having authored 6 papers that have together received 422 indexed citations. Recurring topics across this work include Topic Modeling (2 papers), Machine Learning and Data Classification (1 paper), Advanced Data Storage Technologies (1 paper), Privacy-Preserving Technologies in Data (1 paper), Anomaly Detection Techniques and Applications (1 paper), Data Stream Mining Techniques (1 paper), Expert finding and Q&A systems (1 paper) and Logic, Reasoning, and Knowledge (1 paper). The work is most often cited by research in Health Informatics (38 citations), Artificial Intelligence (182 citations), Software (10 citations), Information Systems (55 citations) and Computer Science Applications (12 citations). Shaochen Zhong has collaborated with scholars based in United States. Frequent co-authors include Xia Hu, Hongye Jin, Bing Yin, Qizhang Feng, Ruixiang Tang, Xiaotian Han, Jingfeng Yang, Haoming Jiang, Daochen Zha and Zhimeng Jiang. Their work appears in journals such as ACM Transactions on Knowledge Discovery from Data and ACM Computing Surveys.

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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