Aman Ullah

848 total citations
28 papers, 532 citations indexed

About

Aman Ullah is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Aman Ullah has authored 28 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistical and Nonlinear Physics, 12 papers in Artificial Intelligence and 8 papers in Computer Networks and Communications. Recurrent topics in Aman Ullah's work include Complex Network Analysis Techniques (17 papers), Opinion Dynamics and Social Influence (17 papers) and Advanced Graph Neural Networks (8 papers). Aman Ullah is often cited by papers focused on Complex Network Analysis Techniques (17 papers), Opinion Dynamics and Social Influence (17 papers) and Advanced Graph Neural Networks (8 papers). Aman Ullah collaborates with scholars based in China, Pakistan and Türkiye. Aman Ullah's co-authors include Nasrullah Khan, Bin Wang, Jinfang Sheng, Zejun Sun, Jun Long, Zongmin Ma, Kemal Polat, Rajesh Kumar, Qinli Yang and Salah Ud Din and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Aman Ullah

27 papers receiving 509 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aman Ullah China 14 340 176 101 92 65 28 532
Hao Yin United States 6 350 1.0× 233 1.3× 86 0.9× 49 0.5× 22 0.3× 12 516
Adeel Baig Pakistan 11 225 0.7× 151 0.9× 323 3.2× 59 0.6× 20 0.3× 51 635
Zejun Sun China 13 408 1.2× 121 0.7× 89 0.9× 33 0.4× 87 1.3× 26 483
Lotfi Ben Romdhane Tunisia 13 355 1.0× 158 0.9× 100 1.0× 87 0.9× 23 0.4× 29 471
Xiao-Long Ren China 8 271 0.8× 66 0.4× 83 0.8× 63 0.7× 45 0.7× 20 385
Elahe Nasiri Iran 9 285 0.8× 323 1.8× 103 1.0× 82 0.9× 11 0.2× 9 568
Giridhar Maji India 10 257 0.8× 82 0.5× 69 0.7× 35 0.4× 54 0.8× 29 479
Sanjukta Bhowmick United States 9 200 0.6× 146 0.8× 100 1.0× 53 0.6× 23 0.4× 49 469

Countries citing papers authored by Aman Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Aman Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aman Ullah

This figure shows the co-authorship network connecting the top 25 collaborators of Aman Ullah. A scholar is included among the top collaborators of Aman Ullah 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 Aman Ullah. Aman Ullah 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.
Ullah, Aman, et al.. (2025). Finding influential nodes via graph embedding and hybrid centrality in complex networks. Chaos Solitons & Fractals. 194. 116151–116151. 9 indexed citations
2.
Ullah, Aman, et al.. (2025). OVED-Rank: A ranking scheme to evaluate complex network spreaders’ influence through the concept of effective distance and orbital velocity. Information Processing & Management. 62(5). 104201–104201. 4 indexed citations
3.
Ullah, Aman, et al.. (2024). Towards investigating influencers in complex social networks using electric potential concept from a centrality perspective. Information Fusion. 109. 102439–102439. 11 indexed citations
4.
Kumar, Rajesh, et al.. (2024). Privacy-preserving blockchain-based federated learning for brain tumor segmentation. Computers in Biology and Medicine. 177. 108646–108646. 22 indexed citations
5.
Zhang, Zuping, et al.. (2024). Exploring community detection methods and their diverse applications in complex networks: a comprehensive review. Social Network Analysis and Mining. 14(1). 7 indexed citations
6.
Din, Salah Ud, et al.. (2023). A reliable adaptive prototype-based learning for evolving data streams with limited labels. Information Processing & Management. 61(1). 103532–103532. 7 indexed citations
7.
Ullah, Aman, et al.. (2023). LSS: A locality-based structure system to evaluate the spreader’s importance in social complex networks. Expert Systems with Applications. 228. 120326–120326. 25 indexed citations
8.
Sun, Zejun, et al.. (2023). Finding critical nodes in a complex network from information diffusion and Matthew effect aggregation. Expert Systems with Applications. 233. 120927–120927. 19 indexed citations
9.
Ullah, Aman, Jinfang Sheng, Bin Wang, Salah Ud Din, & Nasrullah Khan. (2023). Leveraging neighborhood and path information for influential spreaders recognition in complex networks. Journal of Intelligent Information Systems. 62(2). 377–401. 8 indexed citations
10.
Khan, Nasrullah, Zongmin Ma, Li Yan, & Aman Ullah. (2022). Hashing-based semantic relevance attributed knowledge graph embedding enhancement for deep probabilistic recommendation. Applied Intelligence. 53(2). 2295–2320. 11 indexed citations
11.
Khan, Nasrullah, Zongmin Ma, Aman Ullah, & Kemal Polat. (2022). Similarity attributed knowledge graph embedding enhancement for item recommendation. Information Sciences. 613. 69–95. 22 indexed citations
12.
Ullah, Aman, et al.. (2022). A novel relevance-based information interaction model for community detection in complex networks. Expert Systems with Applications. 196. 116607–116607. 22 indexed citations
13.
Khan, Nasrullah, Zongmin Ma, Aman Ullah, & Kemal Polat. (2022). Categorization of knowledge graph based recommendation methods and benchmark datasets from the perspectives of application scenarios: A comprehensive survey. Expert Systems with Applications. 206. 117737–117737. 23 indexed citations
14.
Ullah, Aman, Bin Wang, Jinfang Sheng, & Nasrullah Khan. (2022). Escape velocity centrality: escape influence-based key nodes identification in complex networks. Applied Intelligence. 52(14). 16586–16604. 18 indexed citations
15.
16.
Ullah, Aman, Bin Wang, Jinfang Sheng, et al.. (2021). Identification of nodes influence based on global structure model in complex networks. Scientific Reports. 11(1). 6173–6173. 72 indexed citations
17.
Ullah, Aman, Bin Wang, Jinfang Sheng, Jun Long, & Nasrullah Khan. (2021). Identification of Influential Nodes via Effective Distance‐based Centrality Mechanism in Complex Networks. Complexity. 2021(1). 25 indexed citations
18.
Ullah, Aman, Bin Wang, Jinfang Sheng, et al.. (2020). Optimization of software cost estimation model based on biogeography-based optimization algorithm. Intelligent Decision Technologies. 14(4). 441–448. 7 indexed citations
19.
Sheng, Jinfang, Jie Hu, Zejun Sun, et al.. (2019). Community detection based on human social behavior. Physica A Statistical Mechanics and its Applications. 531. 121765–121765. 12 indexed citations
20.
Ullah, Sehat, et al.. (2016). Evaluating Students Performance in Adaptive 3D-Virtual Learning Environments Using Fuzzy Logic. Sindh University Research Journal. 48(2). 4 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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