Journal of Computer Science & Systems Biology

ISSN: 0974-7230

Open Access

Citations Report

Journal of Computer Science & Systems Biology : Citations & Metrics Report

Articles published in Journal of Computer Science & Systems Biology have been cited by esteemed scholars and scientists all around the world.

Journal of Computer Science & Systems Biology has got h-index 23, which means every article in Journal of Computer Science & Systems Biology has got 23 average citations.

Following are the list of articles that have cited the articles published in Journal of Computer Science & Systems Biology.

  2022 2021 2020 2019 2018

Year wise published articles

61 60 41 17 29

Year wise citations received

175 232 220 225 205
Journal total citations count 2279
Journal impact factor 1.73
Journal 5 years impact factor 5.97
Journal cite score 5.75
Journal h-index 23
Journal h-index since 2018 17
Important citations

Enayati N, De Momi E, Ferrigno G (2016) Haptics in robot-assisted surgery: challenges and benefits. IEEE reviews in Biomedical Engineering 9: 49-65.

Yang S, Wells TS, MacLachlan RA, Riviere CN (2013) Performance of a 6-degree-of-freedom active microsurgical manipulator in handheld tasks. In 35th Annual International Conference on Engineering in Medicine and Biology Society. 5670-5673.

Wu L, Tan BLW, Ren H (2015). Prototype development of a hand-held robotic light pipe for intraocular procedures. In IEEE International Conference on Robotics and Biomimetics. 368-373.

Wells TS, Yang S, MacLachlan RA, Handa JT, Gehlbach P, et al. (2013) Comparison of baseline tremor under various microsurgical conditions. In IEEE International Conference on Systems, Man, and Cybernetics.1482-1487.

Shademan A, Decker RS, Opfermann JD, Leonard S, Krieger A, et al. (2016) Supervised autonomous robotic soft tissue surgery. Sci Trans Med. 8: 337ra64-337ra64.

Brylinski M (2013) Unleashing the power of meta-threading for evolution/structure-based function inference of proteins. Front Genet. 4: 118.

Maheshwari S, Brylinski M (2015) Predicting protein interface residues using easily accessible on-line resources. Brief Bioinfo. bbv009.

Ragothaman A, Boddu SC, Kim N, Feinstein W, Brylinski M, et al. (2014) Developing ethread pipeline using saga-pilot abstraction for large-scale structural bioinformatics. BioMed Res Inter. 348725

Maheshwari S, Brylinski M (2015) Prediction of protein–protein interaction sites from weakly homologous template structures using meta‐threading and machine learning. J Mol Recog. 28: 35-48.

Feinstein, W. P., & Brylinski, M. (2014). eFindSite: Enhanced Fingerprint‐Based Virtual Screening Against Predicted Ligand Binding Sites in Protein Models. Molecular Informatics, 33(2), 135-150.

Brylinski M, Feinstein WP (2013) eFindSite: improved prediction of ligand binding sites in protein models using meta-threading, machine learning and auxiliary ligands. J Comput Aided Molecular Design. 27: 551-567.

Earla P (2015) Long Lasting Disease: Leprosy. J Infect Dis Ther. 3: 1-4.

Atapour‐Mashhad H, Soukhtanloo M, Massoudi A, Shiri A, Parizadeh SM, et al. (2016) Synthesis and Antiproliferative Evaluation of New Pyrimido [1, 6‐a] Thieno [2, 3‐d] Pyrimidine Derivatives. J Hetero Chem.

Zhao Y, Zhou C (2016). System self-awareness towards deep learning and discovering high-value information. Ubiquitous Computing, Electronics & Mobile Communication Conference, 1-8.

Headleand CJ, Ap Cenydd L, Teahan WJ (2014) Benchmarking Grammar-Based Genetic Programming Algorithms. Research and Development in Intelligent Systems, Springer International Publishing, 135-148.

Headleand C (2013) Bio-inspired methods for automatic behaviour generation. Master’s thesis.

Headleand CJ, Teahan WJ. (2013) Template based evolution. In Proceedings of the 15th annual conference companion on Genetic and evolutionary computation, 1383-1390.

Olmo JL, Romero JR, Ventura S (2014) Swarm‐based metaheuristics in automatic programming: a survey. Wiley Inter Rev Data Min Knowl Discov. 4: 445-469.

Hamon J, Renner M, Jamei M, Lukas A, Kopp-Schneider A, et al. (2015) Quantitative in vitro to in vivo extrapolation of tissues toxicity. Toxicol in Vitro. 30: 203-216.

Cisek K, Krochmal M, Klein J, Mischak H (2016) The application of multi-omics and systems biology to identify therapeutic targets in chronic kidney disease. Nephrol Dial Transplant. 31: 2003-2011.

Google Scholar citation report
Citations: 2279

Journal of Computer Science & Systems Biology received 2279 citations as per Google Scholar report

Journal of Computer Science & Systems Biology peer review process verified at publons

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