Ming-Deh A. Huang
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 2%
- Molecular Biology
- Mechanical Engineering
- Information Systems top 5%
- Co-authors
- Leonard M. AdlemanQi ChengAshish GoelPablo Moisset de EspanésDavid KempeYiu-Chung WongHo-Lin ChenKarl Lieberherr
- Topics
- Coding theory and cryptography (16 papers)Algebraic Geometry and Number Theory (14 papers)Polynomial and algebraic computation (12 papers)
- Partner nations
- United StatesSingaporeIreland
In The Last Decade
Ming-Deh A. Huang
36 papers receiving 512 citations
Peers
Comparison fields: 5 of 42
- Artificial Intelligence 297
- Computational Theory and Mathematics 268
- Molecular Biology 177
- Mechanical Engineering 147
- Information Systems 139
Countries citing papers authored by Ming-Deh A. Huang
This map shows the geographic impact of Ming-Deh A. Huang'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 Ming-Deh A. Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming-Deh A. Huang more than expected).
Fields of papers citing papers by Ming-Deh A. Huang
This network shows the impact of papers produced by Ming-Deh A. Huang. 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 Ming-Deh A. Huang. The network helps show where Ming-Deh A. Huang may publish in the future.
Co-authorship network of co-authors of Ming-Deh A. Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Deh A. Huang. A scholar is included among the top collaborators of Ming-Deh A. Huang 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 Ming-Deh A. Huang. Ming-Deh A. Huang 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 | 1 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | Linear Self-Assemblies: Equilibria, Entropy and Convergence Rates | 26 |
| 6 | 5 | |
| 7 | 11 | |
| 8 | 3 | |
| 9 | 24 | |
| 10 | 7 | |
| 11 | 1 | |
| 12 | 11 | |
| 13 | 23 | |
| 14 | 7 | |
| 15 | Solving Systems of Polynomial Congruences Modulo a Large Prime * (Extended Abstract) | 2 |
| 16 | 29 | |
| 17 | Proceedings of the First International Symposium on Algorithmic Number Theory | 2 |
| 18 | Counting Rational Points on Curves over Finite Fields (EXTENDED ABSTRACT) | 1 |
| 19 | MAXIMAL PERIOD POLYNOMIALS OVER Z/(p~d) | 9 |
| 20 | 4 |
About Ming-Deh A. Huang
Ming-Deh A. Huang is a scholar working on Algebra and Number Theory, Geometry and Topology and Computational Theory and Mathematics, having authored 41 papers that have together received 603 indexed citations. Recurring topics across this work include Coding theory and cryptography (16 papers), Algebraic Geometry and Number Theory (14 papers) and Polynomial and algebraic computation (12 papers). The work is most often cited by research in Computational Theory and Mathematics (268 citations), Geometry and Topology (99 citations) and Algebra and Number Theory (48 citations). Ming-Deh A. Huang has collaborated with scholars based in United States, Singapore and Ireland. Frequent co-authors include Leonard M. Adleman, Qi Cheng, Ashish Goel, Pablo Moisset de Espanés, David Kempe, Yiu-Chung Wong, Ashish Goel, Ho-Lin Chen, Karl Lieberherr and Shang‐Hua Teng. Their work appears in journals such as Mathematics of Computation, Lecture notes in mathematics and SIAM Journal on Computing.
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.