Jin Sima

522 total citations
27 papers, 317 citations indexed

About

Jin Sima is a scholar working on Molecular Biology, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Jin Sima has authored 27 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 17 papers in Artificial Intelligence and 8 papers in Computer Networks and Communications. Recurrent topics in Jin Sima's work include DNA and Biological Computing (20 papers), Advanced biosensing and bioanalysis techniques (13 papers) and Algorithms and Data Compression (12 papers). Jin Sima is often cited by papers focused on DNA and Biological Computing (20 papers), Advanced biosensing and bioanalysis techniques (13 papers) and Algorithms and Data Compression (12 papers). Jin Sima collaborates with scholars based in United States, China and Singapore. Jin Sima's co-authors include Jehoshua Bruck, Ryan Gabrys, Netanel Raviv, Farzad Farnoud, Wei Chen, Olgica Milenković, Moshe Schwartz, Ilan Shomorony, Krishna R. Narayanan and Chao Pan and has published in prestigious journals such as IEEE Transactions on Information Theory, Entropy and 2022 IEEE International Symposium on Information Theory (ISIT).

In The Last Decade

Jin Sima

26 papers receiving 314 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin Sima United States 10 264 148 116 92 31 27 317
Tuan Thanh Nguyen Singapore 11 205 0.8× 145 1.0× 88 0.8× 81 0.9× 29 0.9× 41 312
Wentu Song Singapore 11 130 0.5× 146 1.0× 245 2.1× 104 1.1× 74 2.4× 36 360
Kedar Tatwawadi United States 8 156 0.6× 126 0.9× 70 0.6× 19 0.2× 11 0.4× 13 218
Vladimir N. Potapov Russia 8 76 0.3× 95 0.6× 29 0.3× 31 0.3× 88 2.8× 45 223
S. M. Hossein Tabatabaei Yazdi United States 6 580 2.2× 214 1.4× 61 0.5× 175 1.9× 21 0.7× 8 615
K. Gaedke Germany 6 199 0.8× 67 0.5× 31 0.3× 57 0.6× 30 1.0× 12 277
Shankara Narayanan Krishna India 7 111 0.4× 51 0.3× 31 0.3× 91 1.0× 5 0.2× 45 179
Katsunobu Imai Japan 8 81 0.3× 37 0.3× 18 0.2× 159 1.7× 13 0.4× 39 179
Michael Ho Taiwan 8 195 0.7× 65 0.4× 21 0.2× 60 0.7× 8 0.3× 17 261
Nika Mansouri Ghiasi Switzerland 8 61 0.2× 73 0.5× 169 1.5× 9 0.1× 91 2.9× 18 294

Countries citing papers authored by Jin Sima

Since Specialization
Citations

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

Fields of papers citing papers by Jin Sima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin Sima. 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 Jin Sima. The network helps show where Jin Sima may publish in the future.

Co-authorship network of co-authors of Jin Sima

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Sima. A scholar is included among the top collaborators of Jin Sima 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 Jin Sima. Jin Sima 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.
Sima, Jin, et al.. (2025). Generalized Orthogonal de Bruijn and Kautz Sequences. Entropy. 27(4). 366–366. 2 indexed citations
2.
Sima, Jin, et al.. (2025). Generalized Orthogonal De Bruijn Sequences. 1–6. 1 indexed citations
3.
Sima, Jin, Netanel Raviv, & Jehoshua Bruck. (2024). Robust Indexing for the Sliced Channel: Almost Optimal Codes for Substitutions and Deletions. IEEE Transactions on Information Theory. 71(2). 881–894. 3 indexed citations
4.
Sima, Jin, et al.. (2024). Nearest Neighbor Representations of Neural Circuits. 3077–3082. 1 indexed citations
5.
Sima, Jin, et al.. (2023). On Constant-Weight Binary B 2 -Sequences. 886–891. 3 indexed citations
6.
Sima, Jin, et al.. (2023). On the Information Capacity of Nearest Neighbor Representations. 1663–1668. 2 indexed citations
7.
Sima, Jin, et al.. (2023). Non-Binary Codes for Correcting a Burst of at Most t Deletions. IEEE Transactions on Information Theory. 70(2). 964–979. 8 indexed citations
8.
Sima, Jin, Chao Pan, & Olgica Milenković. (2023). Perturbation-Resilient Sets for Dynamic Service Balancing. 2278–2283.
9.
Sima, Jin, et al.. (2022). On Algebraic Constructions of Neural Networks with Small Weights. 2022 IEEE International Symposium on Information Theory (ISIT). 3007–3012. 2 indexed citations
10.
Sima, Jin, et al.. (2021). Non-binary Codes for Correcting a Burst of at Most 2 Deletions. 2804–2809. 11 indexed citations
11.
Sima, Jin & Jehoshua Bruck. (2021). Trace Reconstruction with Bounded Edit Distance. 2519–2524. 7 indexed citations
12.
Sima, Jin, Netanel Raviv, & Jehoshua Bruck. (2020). Robust Indexing - Optimal Codes for DNA Storage. 717–722. 12 indexed citations
13.
Sima, Jin, Ryan Gabrys, & Jehoshua Bruck. (2020). Optimal Codes for the q-ary Deletion Channel. 740–745. 26 indexed citations
14.
Sima, Jin, Ryan Gabrys, & Jehoshua Bruck. (2020). Optimal Systematic t-Deletion Correcting Codes. 769–774. 46 indexed citations
15.
Sima, Jin, Ryan Gabrys, & Jehoshua Bruck. (2020). Syndrome Compression for Optimal Redundancy Codes. 751–756. 22 indexed citations
16.
Sima, Jin, Netanel Raviv, & Jehoshua Bruck. (2019). On Coding Over Sliced Information. 767–771. 12 indexed citations
17.
Sima, Jin & Jehoshua Bruck. (2019). Correcting Deletions in Multiple-Heads Racetrack Memories. 1367–1371. 5 indexed citations
18.
Sima, Jin & Jehoshua Bruck. (2019). Optimal k-Deletion Correcting Codes. 847–851. 36 indexed citations
19.
Sima, Jin, Netanel Raviv, & Jehoshua Bruck. (2018). Two Deletion Correcting Codes from Indicator Vectors. 421–425. 5 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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