Shaochen Zhong

757 citations
6 papers · 317 · 2 hit papers · h-index 3

Impact in

Papers in

Shaochen Zhong

5 papers receiving 308 citations

Shaochen Zhong's Hit Papers

Data-centric Artificial Intelligence: A Survey 2025 · 47 citations
470+1Years since publication50100150200250

Peers

Shaochen Zhong
Comparison fields: 5 of 80
  • Health Informatics 29
  • Artificial Intelligence 141
  • Software 9
  • Information Systems 45
  • Management Information Systems 16
Replace Hongye Jin with:
Hongye Jin United States
Linhao Luo Australia
Yun-Cheng Wang United States
Qingxiu Dong China
Ashwin Paranjape United States
Doris Xin United States
Hengyi Cai China
Jian Kang United States
Xinxi Lyu United States
Shaochen Zhong relative to Hongye Jin United States Hongye Jin's profile →
Citations per field
00.5×1.5×
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 →
2024263
2
Data-centric Artificial Intelligence: A Survey
Hit paper breakdown →
202547
3 20244
4 20242
5 20251
6 20250

About Shaochen Zhong

Shaochen Zhong is a scholar working on Artificial Intelligence, Computer Networks and Communications, Molecular Biology, Information Systems and Health Informatics, having authored 6 papers that have together received 317 indexed citations. Recurring topics across this work include Topic Modeling (2 papers), Artificial Intelligence in Healthcare and Education (1 paper), Privacy-Preserving Technologies in Data (1 paper), Parallel Computing and Optimization Techniques (1 paper), Advanced Data Storage Technologies (1 paper), Natural Language Processing Techniques (1 paper), Computability, Logic, AI Algorithms (1 paper) and DNA and Biological Computing (1 paper). The work is most often cited by research in Health Informatics (29 citations), Artificial Intelligence (141 citations), Software (9 citations), Information Systems (45 citations) and Management Information Systems (16 citations). Shaochen Zhong has collaborated with scholars based in United States. Frequent co-authors include Xia Hu, Jingfeng Yang, Hongye Jin, Ruixiang Tang, Qizhang Feng, Bing Yin, Haoming Jiang, Xiaotian Han, Kwei-Herng Lai and Fan Yang. Their work appears in journals such as ACM Computing Surveys 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.

Explore authors with similar magnitude of impact