Khushnood Abbas

2.2k total citations · 1 hit paper
21 papers, 1.4k citations indexed

About

Khushnood Abbas is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Khushnood Abbas has authored 21 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistical and Nonlinear Physics, 5 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in Khushnood Abbas's work include Complex Network Analysis Techniques (7 papers), Opinion Dynamics and Social Influence (5 papers) and Bioinformatics and Genomic Networks (3 papers). Khushnood Abbas is often cited by papers focused on Complex Network Analysis Techniques (7 papers), Opinion Dynamics and Social Influence (5 papers) and Bioinformatics and Genomic Networks (3 papers). Khushnood Abbas collaborates with scholars based in China, Australia and Malaysia. Khushnood Abbas's co-authors include Shi Dong, Ping Wang, Raj Jain, Joarder Kamruzzaman, Alireza Abbasi, Bolun Chen, Shi‐Min Cai, Xin Luo, Mingsheng Shang and Rajkumar Buyya and has published in prestigious journals such as Scientific Reports, IEEE Access and BMC Bioinformatics.

In The Last Decade

Khushnood Abbas

20 papers receiving 1.3k citations

Hit Papers

A survey on deep learning and its applications 2021 2026 2022 2024 2021 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A survey on deep learning and its applications
    2021 973 citations Shi Dong, Ping Wang et al. Computer Science Review profile →

Peers

Khushnood Abbas
Akshansh Gupta India
Jianghui Cai China
Yun Li China
Jan Platoš Czechia
Rodrigo Fernandes de Mello Brazil
Hae-Sang Park South Korea
Agostino Forestiero Italy
XuanLong Nguyen United States
Akshansh Gupta India
Khushnood Abbas
Citations per year, relative to Khushnood Abbas Khushnood Abbas (= 1×) peers Akshansh Gupta

Countries citing papers authored by Khushnood Abbas

Since Specialization
Citations

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

Fields of papers citing papers by Khushnood Abbas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Khushnood Abbas

This figure shows the co-authorship network connecting the top 25 collaborators of Khushnood Abbas. A scholar is included among the top collaborators of Khushnood Abbas 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 Khushnood Abbas. Khushnood Abbas 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.
Abbas, Khushnood, Hao Chen, Yong Xu, et al.. (2025). Graph neural network-based drug-drug interaction prediction. Scientific Reports. 15(1). 30340–30340.
2.
Dong, Shi, et al.. (2024). Task offloading strategies for mobile edge computing: A survey. Computer Networks. 254. 110791–110791. 30 indexed citations
3.
Abbas, Khushnood, Mohammad Kamrul Hasan, Alireza Abbasi, et al.. (2023). Predicting the Future Popularity of Academic Publications Using Deep Learning by Considering It as Temporal Citation Networks. IEEE Access. 11. 83052–83068. 13 indexed citations
4.
Abbas, Khushnood, et al.. (2023). A Novel Temporal Network-Embedding Algorithm for Link Prediction in Dynamic Networks. Entropy. 25(2). 257–257. 3 indexed citations
5.
Abbas, Khushnood, Mohammad Kamrul Hasan, Alireza Abbasi, et al.. (2023). Co-Evolving Popularity Prediction in Temporal Bipartite Networks: A Heuristics Based Model. IEEE Access. 11. 37546–37559. 7 indexed citations
6.
Dong, Shi, et al.. (2023). Blockchain technology and application: an overview. PeerJ Computer Science. 9. e1705–e1705. 49 indexed citations
7.
Abbas, Khushnood, Shi Dong, & Asif Irshad Khan. (2023). Point Process based time sensitive personalised recommendation. Procedia Computer Science. 218. 1791–1804. 3 indexed citations
8.
Dong, Shi, Ping Wang, & Khushnood Abbas. (2021). A survey on deep learning and its applications. Computer Science Review. 40. 100379–100379. 973 indexed citations breakdown →
9.
10.
Abbas, Khushnood, et al.. (2021). Application of network link prediction in drug discovery. BMC Bioinformatics. 22(1). 187–187. 56 indexed citations
11.
Liu, Ningzhong, et al.. (2021). Weber’s law based multi-level convolution correlation features for image retrieval. Multimedia Tools and Applications. 80(13). 19157–19177. 8 indexed citations
12.
Li, Long, et al.. (2020). Ranking Nodes in Temporal Networks: Eigen Value and Node Degree Growth based. 146–153. 2 indexed citations
13.
Abbas, Khushnood, et al.. (2020). Transformers Fault Prediction: An Improved Ensembled Method. International Journal of Electronics and Electrical Engineering. 8(4). 82–87. 3 indexed citations
14.
Dong, Shi, Khushnood Abbas, & Raj Jain. (2019). A Survey on Distributed Denial of Service (DDoS) Attacks in SDN and Cloud Computing Environments. IEEE Access. 7. 80813–80828. 163 indexed citations
15.
Abbas, Khushnood, et al.. (2018). Popularity and Novelty Dynamics in Evolving Networks. Scientific Reports. 8(1). 6332–6332. 15 indexed citations
16.
Abbas, Khushnood. (2018). Facebook wall post processed data. Data Archiving and Networked Services (DANS). 1. 1 indexed citations
17.
Abbas, Khushnood. (2017). Movielens 20M Dataset. Data Archiving and Networked Services (DANS). 3. 4 indexed citations
18.
Abbas, Khushnood, Mingsheng Shang, Xin Luo, & Alireza Abbasi. (2017). Emerging trends in evolving networks: Recent behaviour dominant and non-dominant model. Physica A Statistical Mechanics and its Applications. 484. 506–515. 6 indexed citations
19.
Abbas, Khushnood, et al.. (2016). Discovering Items with Potential Popularity on Social Media. 286. 459–466. 3 indexed citations
20.
Shi, Xiaoyu, Mingsheng Shang, Xin Luo, Khushnood Abbas, & Jianping Li. (2016). Long-term effects of user preference-oriented recommendation method on the evolution of online system. Physica A Statistical Mechanics and its Applications. 467. 490–498. 8 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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