Zichen Wang
Impact in
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- Thyroid Disorders and Treatments
- Growth Hormone and Insulin-like Growth Factors
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- Estrogen and related hormone effects
- Glioma Diagnosis and Treatment
Papers in
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- DNA and Biological Computing 2
- Bioinformatics and Genomic Networks 1
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- Autonomous Vehicle Technology and Safety 1
- Co-authors
- Lily Ng (1 shared paper)Scott A. Gothe (1 shared paper)Björn Vennström (1 shared paper)Claes Ohlsson (1 shared paper)Douglas Forrest (1 shared paper)Jenny M. Kindblom (1 shared paper)Corey Arnold (1 shared paper)Mu Zhou (1 shared paper)
- Journals
- Bioinformatics (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)American Journal of Neuroradiology (1 paper)Genes & Development (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Zichen Wang
8 papers receiving 544 citations
Peers
Comparison fields: 5 of 73
- Endocrinology, Diabetes and Metabolism 261
- Genetics 54
- Health Informatics 6
- Genetics 117
- Endocrine and Autonomic Systems 22
Countries citing papers authored by Zichen Wang
This map shows the geographic impact of Zichen Wang'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 Zichen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zichen Wang more than expected).
Fields of papers citing papers by Zichen Wang
This network shows the impact of papers produced by Zichen Wang. 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 Zichen Wang. The network helps show where Zichen Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Zichen Wang, 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 | 1999 | 361 | |
| 2 | 2018 | 83 | |
| 3 | 2020 | 59 | |
| 4 | 2019 | 32 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 6 | |
| 7 | One-time-pad cryptography algorithm based on DNA cryptography | 2014 | 2 |
| 8 | Review of simulation computation of DNA self-assembly system and the related application research | 2014 | 1 |
About Zichen Wang
Zichen Wang is a scholar working on Molecular Biology, Automotive Engineering, Genetics, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 550 indexed citations. Recurring topics across this work include DNA and Biological Computing (2 papers), Estrogen and related hormone effects (1 paper), Autonomous Vehicle Technology and Safety (1 paper), Vehicle License Plate Recognition (1 paper), Bioinformatics and Genomic Networks (1 paper), Growth Hormone and Insulin-like Growth Factors (1 paper), Neural Networks and Applications (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (261 citations), Genetics (54 citations), Health Informatics (6 citations), Genetics (117 citations) and Endocrine and Autonomic Systems (22 citations). Zichen Wang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Lily Ng, Scott A. Gothe, Björn Vennström, Claes Ohlsson, Douglas Forrest, Jenny M. Kindblom, Corey Arnold, Mu Zhou, Alexander Lachmann and Sherry L. Jenkins. Their work appears in journals such as Bioinformatics, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Intelligent Transportation Systems, American Journal of Neuroradiology and Genes & Development.
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.