Abdul Sattar

6.9k total citations · 1 hit paper
290 papers, 4.3k citations indexed

About

Abdul Sattar is a scholar working on Artificial Intelligence, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Abdul Sattar has authored 290 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Artificial Intelligence, 79 papers in Computer Networks and Communications and 71 papers in Molecular Biology. Recurrent topics in Abdul Sattar's work include Machine Learning in Bioinformatics (51 papers), Protein Structure and Dynamics (46 papers) and Constraint Satisfaction and Optimization (37 papers). Abdul Sattar is often cited by papers focused on Machine Learning in Bioinformatics (51 papers), Protein Structure and Dynamics (46 papers) and Constraint Satisfaction and Optimization (37 papers). Abdul Sattar collaborates with scholars based in Australia, United States and Pakistan. Abdul Sattar's co-authors include Abdollah Dehzangi, Alok Sharma, Kuldip K. Paliwal, James Lyons, Rhys Heffernan, Kaile Su, Yaoqi Zhou, M. A. Hakim Newton, Yuedong Yang and Bela Stantić and has published in prestigious journals such as The Lancet, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Abdul Sattar

260 papers receiving 4.1k citations

Hit Papers

Synthesis, in vitro bio-evaluation, and molecular docking... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abdul Sattar Australia 33 1.9k 666 664 546 316 290 4.3k
Kwong‐Sak Leung Hong Kong 34 746 0.4× 1.1k 1.7× 412 0.6× 413 0.8× 77 0.2× 153 3.8k
Thomas Jansen Germany 35 733 0.4× 1.8k 2.7× 1.1k 1.7× 359 0.7× 40 0.1× 148 4.3k
Y-H. Chen Taiwan 40 1.4k 0.7× 494 0.7× 50 0.1× 371 0.7× 131 0.4× 220 5.6k
Fusheng Wang United States 42 1.1k 0.6× 1.1k 1.7× 171 0.3× 948 1.7× 117 0.4× 307 6.4k
Michael Jünger Germany 36 420 0.2× 249 0.4× 337 0.5× 177 0.3× 64 0.2× 254 5.3k
Seung‐Chul Lee South Korea 41 577 0.3× 407 0.6× 57 0.1× 251 0.5× 660 2.1× 348 6.2k
Wei Liu China 54 460 0.2× 658 1.0× 83 0.1× 1.8k 3.3× 720 2.3× 392 9.0k
Minjie Zhang Australia 31 386 0.2× 640 1.0× 112 0.2× 562 1.0× 78 0.2× 261 3.3k
Yuhong Liu China 37 3.3k 1.8× 487 0.7× 41 0.1× 385 0.7× 64 0.2× 250 6.5k
Shulin Wang China 29 1.8k 1.0× 692 1.0× 222 0.3× 157 0.3× 133 0.4× 112 4.3k

Countries citing papers authored by Abdul Sattar

Since Specialization
Citations

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

Fields of papers citing papers by Abdul Sattar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdul Sattar

This figure shows the co-authorship network connecting the top 25 collaborators of Abdul Sattar. A scholar is included among the top collaborators of Abdul Sattar 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 Abdul Sattar. Abdul Sattar 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.
Khan, Yousaf, Rafaqat Hussain, Sajid Maqsood, et al.. (2025). Design, Synthesis and Computational Approaches of Highly Potent Thiazole-Based Isoxazole Targeting Thymidine Phosphorylase and Urease Inhibitors. Journal of Computational Biophysics and Chemistry. 25(11). 2201–2228.
2.
Newton, M. A. Hakim, et al.. (2022). Constraint Guided Neighbor Generation for Protein Structure Prediction. IEEE Access. 10. 54991–55001. 3 indexed citations
4.
Sattar, Abdul, et al.. (2020). Current trends in antimicrobial susceptibility pattern of Salmonella typhi and paratyphi. Rawal Medical Journal. 45(2). 291–294. 1 indexed citations
5.
Sabar, Nasser R., Ayad Turky, Andy Song, & Abdul Sattar. (2019). An evolutionary hyper-heuristic to optimise deep belief networks for image reconstruction. Applied Soft Computing. 97. 105510–105510. 20 indexed citations
6.
Mishra, Avinash, et al.. (2018). Computational Issues of Protein-Ligand Docking. 7(2).
7.
Nayak, Abhaya, et al.. (2015). Probabilistic belief contraction using argumentation. Griffith Research Online (Griffith University, Queensland, Australia). 2015. 2854–2860. 1 indexed citations
8.
Rashid, Mahmood A., Swakkhar Shatabda, M. A. Hakim Newton, Md Tamjidul Hoque, & Abdul Sattar. (2014). A Parallel Framework for Multipoint Spiral Search in ab Initio Protein Structure Prediction. SHILAP Revista de lepidopterología. 2014. 1–17. 2 indexed citations
9.
Shatabda, Swakkhar, M. A. Hakim Newton, Mahmood A. Rashid, Duc Nghia Pham, & Abdul Sattar. (2014). How Good Are Simplified Models for Protein Structure Prediction?. PubMed. 2014. 1–9. 9 indexed citations
10.
Pham, Duc Nghia, et al.. (2013). Weight-enhanced diversification in stochastic local search for satisfiability. University of Southern Queensland ePrints (University of Southern Queensland). 524–530. 5 indexed citations
11.
Stantić, Bela, et al.. (2012). Indexing RFID data using the VG-curve. Griffith Research Online (Griffith University, Queensland, Australia). 124. 117–126. 1 indexed citations
12.
Stantić, Bela, et al.. (2010). X-CleLo: Intelligent Deterministic RFID Data Transformer. Griffith Research Online (Griffith University, Queensland, Australia). 59–68. 1 indexed citations
13.
Stantić, Bela, et al.. (2010). Building a dynamic classifier for large text data collections. Griffith Research Online (Griffith University, Queensland, Australia). 113–122. 6 indexed citations
14.
Lam, Ho-Pun, Subhasis Thakur, Guido Governatori, & Abdul Sattar. (2009). A model to Coordinate UAVs in urban environment using defeasible logic. 549. 1–8. 3 indexed citations
15.
Stantić, Bela, et al.. (2009). Improving the quality of RFID Data by Utilising a Bayesian Network Cleaning Method. Griffith Research Online (Griffith University, Queensland, Australia). 94–99. 2 indexed citations
16.
Wang, Kewen, Grigoris Antoniou, Rodney Topor, & Abdul Sattar. (2005). Merging and aligning ontologies in dl-programs. Griffith Research Online (Griffith University, Queensland, Australia). 2 indexed citations
17.
Pham, Duc Nghia, et al.. (2005). Old resolution meets modern SLS. ANU Open Research (Australian National University). 354–359. 20 indexed citations
18.
Su, Kaile, et al.. (2005). Observation-based model for BDI-agents. Griffith Research Online (Griffith University, Queensland, Australia). 1. 190–195. 5 indexed citations
19.
Kumar, Amruth N., et al.. (2003). Implementing the architecture, assembly language, and operating systems components of curriculum 2001. Journal of computing sciences in colleges. 18(5). 118–122. 2 indexed citations
20.
Nayak, Abhaya, Norman Foo, Maurice Pagnucco, & Abdul Sattar. (1996). Changing conditional beliefs unconditionally. Griffith Research Online (Griffith University, Queensland, Australia). 119–135. 17 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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