Weng-Long Chang

834 total citations
51 papers, 560 citations indexed

About

Weng-Long Chang is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Weng-Long Chang has authored 51 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 20 papers in Computational Theory and Mathematics and 19 papers in Artificial Intelligence. Recurrent topics in Weng-Long Chang's work include DNA and Biological Computing (21 papers), Advanced biosensing and bioanalysis techniques (17 papers) and Quantum Computing Algorithms and Architecture (14 papers). Weng-Long Chang is often cited by papers focused on DNA and Biological Computing (21 papers), Advanced biosensing and bioanalysis techniques (17 papers) and Quantum Computing Algorithms and Architecture (14 papers). Weng-Long Chang collaborates with scholars based in Taiwan, Japan and China. Weng-Long Chang's co-authors include Minyi Guo, Michael Ho, Athanasios V. Vasilakos, Chih‐Ping Chu, Mang Feng, Kawuu W. Lin, Wen‐Shiung Lour, Ju-Chin Chen, Wen‐Yu Chung and J. L. Luo and has published in prestigious journals such as Scientific Reports, IEEE Electron Device Letters and Electronics Letters.

In The Last Decade

Weng-Long Chang

48 papers receiving 517 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Weng-Long Chang Taiwan 15 325 187 139 115 74 51 560
Ming-Deh A. Huang United States 12 177 0.5× 297 1.6× 268 1.9× 147 1.3× 33 0.4× 41 603
Alberto Leporati Italy 15 635 2.0× 162 0.9× 293 2.1× 265 2.3× 133 1.8× 81 792
Ryan Gabrys United States 18 714 2.2× 469 2.5× 341 2.5× 92 0.8× 130 1.8× 71 1.0k
Han Mao Kiah Singapore 18 610 1.9× 591 3.2× 371 2.7× 42 0.4× 259 3.5× 120 1.1k
Takashi Yokomori Japan 13 1.0k 3.2× 310 1.7× 400 2.9× 395 3.4× 167 2.3× 63 1.3k
Xiao Guo-zhen China 11 146 0.4× 405 2.2× 202 1.5× 15 0.1× 171 2.3× 64 562
Robert Schweller United States 14 314 1.0× 214 1.1× 105 0.8× 266 2.3× 24 0.3× 41 640
Parimal Pal Chaudhuri India 4 95 0.3× 82 0.4× 214 1.5× 13 0.1× 78 1.1× 7 296
Maurice Margenstern France 13 235 0.7× 100 0.5× 326 2.3× 92 0.8× 15 0.2× 90 506
Christian Deppe Germany 9 62 0.2× 153 0.8× 65 0.5× 6 0.1× 143 1.9× 94 349

Countries citing papers authored by Weng-Long Chang

Since Specialization
Citations

This map shows the geographic impact of Weng-Long Chang'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 Weng-Long Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weng-Long Chang more than expected).

Fields of papers citing papers by Weng-Long Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Weng-Long Chang. 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 Weng-Long Chang. The network helps show where Weng-Long Chang may publish in the future.

Co-authorship network of co-authors of Weng-Long Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Weng-Long Chang. A scholar is included among the top collaborators of Weng-Long Chang 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 Weng-Long Chang. Weng-Long Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chang, Weng-Long, et al.. (2023). Biomolecular and quantum algorithms for the dominating set problem in arbitrary networks. Scientific Reports. 13(1). 4205–4205. 5 indexed citations
2.
Chang, Weng-Long, et al.. (2021). Quantum Speedup and Mathematical Solutions of Implementing Bio-Molecular Solutions for the Independent Set Problem on IBM Quantum Computers. IEEE Transactions on NanoBioscience. 20(3). 354–376. 22 indexed citations
3.
Chang, Weng-Long & Athanasios V. Vasilakos. (2014). Molecular Computing. 8 indexed citations
4.
Chang, Weng-Long. (2011). Fast Parallel DNA-Based Algorithms for Molecular Computation: Quadratic Congruence and Factoring Integers. IEEE Transactions on NanoBioscience. 11(1). 62–69. 15 indexed citations
5.
Chang, Weng-Long, Kawuu W. Lin, Ju-Chin Chen, et al.. (2011). Molecular solutions of the RSA public-key cryptosystem on a DNA-based computer. The Journal of Supercomputing. 61(3). 642–672. 14 indexed citations
6.
Chang, Weng-Long. (2010). Fast Quantum Algorithms of Breaking the Data Encryption Standard. 46. 520–527. 1 indexed citations
7.
Chang, Weng-Long, et al.. (2009). Fast parallel DNA-based algorithms for molecular computation: discrete logarithm. The Journal of Supercomputing. 56(2). 129–163. 16 indexed citations
8.
Chang, Weng-Long, Tingting Ren, J. L. Luo, et al.. (2008). Quantum Algorithms for Biomolecular Solutions of the Satisfiability Problem on a Quantum Machine. IEEE Transactions on NanoBioscience. 7(3). 215–222. 20 indexed citations
9.
Chang, Weng-Long. (2007). Fast Parallel DNA-Based Algorithms for Molecular Computation: The Set-Partition Problem. IEEE Transactions on NanoBioscience. 6(4). 346–353. 24 indexed citations
10.
Chang, Weng-Long, Minyi Guo, & Michael Ho. (2005). Fast Parallel Molecular Algorithms for DNA-Based Computation: Factoring Integers. IEEE Transactions on NanoBioscience. 4(2). 149–163. 67 indexed citations
11.
Chang, Weng-Long, et al.. (2005). Fast Parallel DNA-Based Algorithms for Molecular Computation: Determining a Prime Number. 1. 447–452. 2 indexed citations
12.
Ho, Michael, Weng-Long Chang, Minyi Guo, & Laurence Yang. (2004). Fast Parallel Solution for Set-Packing and Clique Problems by DNA-Based Computing. IEICE Transactions on Information and Systems. 87(7). 1782–1788. 7 indexed citations
13.
Chang, Weng-Long, Michael Ho, & Minyi Guo. (2004). Molecular solutions for the subset-sum problem on DNA-based supercomputing. Biosystems. 73(2). 117–130. 45 indexed citations
14.
Guo, Minyi, Michael Ho, & Weng-Long Chang. (2004). Fast parallel molecular solution to the dominating-set problem on massively parallel bio-computing. Parallel Computing. 30(9-10). 1109–1125. 25 indexed citations
15.
Guo, Minyi, Weng-Long Chang, & Jiannong Cao. (2004). The non-continuous direction vector I test. 27 13. 332–337. 1 indexed citations
16.
Chang, Weng-Long, Minyi Guo, & Michael Ho. (2003). Solving the Set-Splitting Problem in Sticker-Based Model and the Adleman-Lipton Model.. 185–196. 6 indexed citations
17.
Chang, Weng-Long, Minyi Guo, & Michael Ho. (2003). Solving the set-splitting problem in sticker-based model and the lipton-adelmann model. 185–196. 1 indexed citations
18.
Guo, Minyi, Li Li, & Weng-Long Chang. (2003). Efficient loop partitioning for parallel codes of irregular scientific computations. 60–70. 2 indexed citations
19.
Chang, Weng-Long & Chih‐Ping Chu. (2001). The generalized Direction Vector I test. Parallel Computing. 27(8). 1117–1144. 8 indexed citations
20.
Shen, Cheng, et al.. (1997). Investigation of an AlInAs/GaInAs superlattice-emitter resonant tunneling bipolar transistor (SE-RTBT). Superlattices and Microstructures. 22(4). 541–549. 1 indexed citations

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.

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Rankless by CCL
2026