Gong Cheng
- Artificial Intelligence top 1%
- Semantic Web and Ontologies 46
- Topic Modeling 27
- Natural Language Processing Techniques 20
- Advanced Graph Neural Networks 12
- Information Systems top 1%
- Web Data Mining and Analysis 14
- Service-Oriented Architecture and Web Services 14
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- Data Quality and Management 22
- Signal Processing top 5%
- Data Management and Algorithms 16
- Co-authors
- Yuzhong QuWei HuWeiyi GeXiang ZhangD. W. HerrinYawei SunEvgeny KharlamovLingling Zhang
- Journals
- Nature (1 paper)SHILAP Revista de lepidopterología (1 paper)Bioresource Technology (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Gong Cheng
101 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 107
- Artificial Intelligence 971
- Information Systems 522
- Management Science and Operations Research 277
- Signal Processing 137
- Computer Networks and Communications 203
Countries citing papers authored by Gong Cheng
This map shows the geographic impact of Gong Cheng'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 Gong Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gong Cheng more than expected).
Fields of papers citing papers by Gong Cheng
This network shows the impact of papers produced by Gong Cheng. 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 Gong Cheng. The network helps show where Gong Cheng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gong Cheng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 3 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 3 | |
| 9 | 2020 | 27 | |
| 10 | ESSTER at the EYRE 2020 Entity Summarization Task. | 2020 | 3 |
| 11 | 2019 | 4 | |
| 12 | ES-LDA: Entity Summarization using Knowledge-based Topic Modeling | 2017 | 17 |
| 13 | 2017 | 55 | |
| 14 | HIEDS: a generic and efficient approach to hierarchical dataset summarization | 2016 | 6 |
| 15 | Taking up the gaokao challenge: an information retrieval approach | 2016 | 11 |
| 16 | RelClus: clustering-based relationship search | 2013 | 1 |
| 17 | Research on Framework of Virtual Simulation System of Nuclear Facilities Decommissioning | 2011 | 3 |
| 18 | Development of a Network Expert System for Diagnosis and Control of Silkworm Diseases | 2009 | 1 |
| 19 | 2007 | 11 | |
| 20 | 2006 | 3 |
About Gong Cheng
Gong Cheng is a scholar working on Artificial Intelligence, Management Science and Operations Research and Signal Processing, having authored 109 papers that have together received 1.3k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (46 papers), Topic Modeling (27 papers), Data Quality and Management (22 papers), Natural Language Processing Techniques (20 papers), Data Management and Algorithms (16 papers), Web Data Mining and Analysis (14 papers), Service-Oriented Architecture and Web Services (14 papers) and Advanced Graph Neural Networks (12 papers). The work is most often cited by research in Artificial Intelligence (971 citations), Information Systems (522 citations) and Management Science and Operations Research (277 citations). Gong Cheng has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yuzhong Qu, Wei Hu, Weiyi Ge, Xiang Zhang, D. W. Herrin, Yawei Sun, Evgeny Kharlamov, Lingling Zhang, Honghan Wu and Tingting Zhu. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and Bioresource Technology.
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.