Sicheng Zhang
- Biomedical Engineering top 10%
- Industrial and Manufacturing Engineering top 1%
- Artificial Intelligence top 5%
- Organic Chemistry
- Electrical and Electronic Engineering
- Co-authors
- T. N. WongGuochuan YinZhuqi ChenJiaming LiuEkkachai KanchanatipYun LinShiwen MaoHongcai Su
- Topics
- Wireless Signal Modulation Classification (15 papers)Adversarial Robustness in Machine Learning (10 papers)Thermochemical Biomass Conversion Processes (7 papers)
- Journals
- Journal of Agricultural and Food ChemistryChemical Engineering JournalEuropean Journal of Operational Research
- Partner nations
- ChinaThailandUnited States
In The Last Decade
Sicheng Zhang
57 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 99
- Biomedical Engineering 341
- Industrial and Manufacturing Engineering 316
- Artificial Intelligence 274
- Organic Chemistry 125
- Electrical and Electronic Engineering 111
Countries citing papers authored by Sicheng Zhang
This map shows the geographic impact of Sicheng Zhang'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 Sicheng Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sicheng Zhang more than expected).
Fields of papers citing papers by Sicheng Zhang
This network shows the impact of papers produced by Sicheng Zhang. 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 Sicheng Zhang. The network helps show where Sicheng Zhang may publish in the future.
Co-authorship network of co-authors of Sicheng Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Sicheng Zhang. A scholar is included among the top collaborators of Sicheng Zhang 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 Sicheng Zhang. Sicheng Zhang 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 | 4 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 8 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 5 | |
| 11 | 6 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 4 | |
| 15 | 16 | |
| 16 | 35 | |
| 17 | 16 | |
| 18 | 3 | |
| 19 | 23 | |
| 20 | 9 |
About Sicheng Zhang
Sicheng Zhang is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Geochemistry and Petrology, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include Wireless Signal Modulation Classification (15 papers), Adversarial Robustness in Machine Learning (10 papers) and Thermochemical Biomass Conversion Processes (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (316 citations), Catalysis (84 citations) and Artificial Intelligence (274 citations). Sicheng Zhang has collaborated with scholars based in China, Thailand and United States. Frequent co-authors include T. N. Wong, Guochuan Yin, Zhuqi Chen, Jiaming Liu, Ekkachai Kanchanatip, Yun Lin, Shiwen Mao, Hongcai Su, Dwi Hantoko and Luping Zhang. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Chemical Engineering Journal and European Journal of Operational Research.
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.