Suncong Zheng
- Artificial Intelligence top 2%
- Information Systems top 5%
- Molecular Biology
- Management Science and Operations Research top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Bo XuHongyun BaoYuexing HaoPeng ZhouFeng WangJiaming XuHongwei HaoDongyuan Lü
- Topics
- Topic Modeling (14 papers)Natural Language Processing Techniques (12 papers)Advanced Text Analysis Techniques (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeurocomputingNeural Networks
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Suncong Zheng
12 papers receiving 802 citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 738
- Information Systems 123
- Molecular Biology 113
- Management Science and Operations Research 105
- Computer Vision and Pattern Recognition 64
Countries citing papers authored by Suncong Zheng
This map shows the geographic impact of Suncong Zheng'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 Suncong Zheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suncong Zheng more than expected).
Fields of papers citing papers by Suncong Zheng
This network shows the impact of papers produced by Suncong Zheng. 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 Suncong Zheng. The network helps show where Suncong Zheng may publish in the future.
Co-authorship network of co-authors of Suncong Zheng
This figure shows the co-authorship network connecting the top 25 collaborators of Suncong Zheng. A scholar is included among the top collaborators of Suncong Zheng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suncong Zheng. Suncong Zheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 13 | |
| 8 | 11 | |
| 9 | 141 | |
| 10 | Joint Extraction of Entities and Relations Based on a Novel Tagging Schemebreakdown → | 416 |
| 11 | 177 | |
| 12 | Hierarchical Memory Networks for Answer Selection on Unknown Words. | 2 |
| 13 | 45 | |
| 14 | 6 | |
| 15 | 3 | |
| 16 | 1 |
About Suncong Zheng
Suncong Zheng is a scholar working on Artificial Intelligence, General Social Sciences and Transportation, having authored 16 papers that have together received 828 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Natural Language Processing Techniques (12 papers) and Advanced Text Analysis Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (738 citations), Management Science and Operations Research (105 citations) and Information Systems (123 citations). Suncong Zheng has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Bo Xu, Hongyun Bao, Yuexing Hao, Peng Zhou, Feng Wang, Jiaming Xu, Hongwei Hao, Dongyuan Lü, Jun Zhao and Guanhua Tian. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurocomputing and Neural Networks.
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.