Anas Bilal

1.9k total citations · 3 hit papers
66 papers, 1.1k citations indexed

About

Anas Bilal is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Anas Bilal has authored 66 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 20 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Anas Bilal's work include Retinal Imaging and Analysis (13 papers), Artificial Intelligence in Healthcare (10 papers) and AI in cancer detection (10 papers). Anas Bilal is often cited by papers focused on Retinal Imaging and Analysis (13 papers), Artificial Intelligence in Healthcare (10 papers) and AI in cancer detection (10 papers). Anas Bilal collaborates with scholars based in China, Pakistan and Saudi Arabia. Anas Bilal's co-authors include Guangmin Sun, Sarah Mazhar, Muhammad Shafiq, Azhar Imran, Haixia Long, Xiaowen Liu, Jahanzaib Latif, Haixia Long, Liucun Zhu and Yu Li and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Anas Bilal

56 papers receiving 1.0k citations

Hit Papers

align trajectories

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.

AI-Based Automatic Detection and Classification of Diabetic Retinopathy Using U-Net and Deep Learning

2022 119 citations Anas Bilal et al. profile →
NIMEQ-SACNet: A novel self-attention precision medicine model for vision-threatening diabetic retinopathy using image data

2024 53 citations Anas Bilal, Xiaowen Liu et al. Computers in Biology and Medicine profile →
Quantum computational infusion in extreme learning machines for early multi-cancer detection

2025 18 citations Anas Bilal, Muhammad Shafiq et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anas Bilal China	18	492	324	302	228	180	66	1.1k
Nasrullah Nasrullah China	7	509 1.0×	240 0.7×	211 0.7×	97 0.4×	156 0.9×	9	904
Devvi Sarwinda Indonesia	14	280 0.6×	227 0.7×	330 1.1×	74 0.3×	36 0.2×	80	854
Fatma Taher United Arab Emirates	21	483 1.0×	297 0.9×	464 1.5×	58 0.3×	45 0.3×	110	1.3k
Marriam Nawaz Pakistan	23	325 0.7×	661 2.0×	547 1.8×	122 0.5×	100 0.6×	49	1.8k
Benzheng Wei China	17	1.1k 2.2×	727 2.2×	853 2.8×	60 0.3×	256 1.4×	74	1.9k
Song Sun China	8	294 0.6×	217 0.7×	119 0.4×	88 0.4×	163 0.9×	14	760
András Hajdú Hungary	22	1.3k 2.6×	797 2.5×	334 1.1×	211 0.9×	935 5.2×	135	1.9k
Alaa S. Al‐Waisy Iraq	16	320 0.7×	261 0.8×	250 0.8×	34 0.1×	79 0.4×	30	915
N. Sri Madhava Raja India	16	543 1.1×	488 1.5×	464 1.5×	33 0.1×	33 0.2×	46	1.3k

Countries citing papers authored by Anas Bilal

Since Specialization

Citations

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

Fields of papers citing papers by Anas Bilal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anas Bilal

This figure shows the co-authorship network connecting the top 25 collaborators of Anas Bilal. A scholar is included among the top collaborators of Anas Bilal 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 Anas Bilal. Anas Bilal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Long, Haixia, et al.. (2025). A malware classification method based on directed API call relationships. PLoS ONE. 20(3). e0299706–e0299706. 3 indexed citations

Bajpai, Abhishek, Shashank Yadav, Anas Bilal, et al.. (2025). DM-AECB: a diffusion and attention-enhanced convolutional block for underwater image restoration in autonomous marine systems. Frontiers in Marine Science. 12.

Rehman, Khalil Ur, Jianqiang Li, Anas Bilal, et al.. (2025). A Feature Fusion Attention-based Deep Learning Algorithm for Mammographic Architectural Distortion Classification. IEEE Journal of Biomedical and Health Informatics. PP. 1–12. 6 indexed citations

Huang, Jianjun, et al.. (2025). Mamba-fusion for privacy-preserving disease prediction. Scientific Reports. 15(1). 21819–21819.

Bilal, Anas, et al.. (2024). NIMEQ-SACNet: A novel self-attention precision medicine model for vision-threatening diabetic retinopathy using image data. Computers in Biology and Medicine. 171. 108099–108099. 53 indexed citations breakdown →

Bilal, Anas, Azhar Imran, Xiaowen Liu, et al.. (2024). BC-QNet: A quantum-infused ELM model for breast cancer diagnosis. Computers in Biology and Medicine. 175. 108483–108483. 31 indexed citations

Kanwal, Shamsa, et al.. (2024). A robust approach to satellite image encryption using chaotic map and circulant matrices. Engineering Reports. 6(12). 3 indexed citations

Bilal, Anas, et al.. (2024). PDCNET: Deep Convolutional Neural Network for Classification of Periodontal Disease Using Dental Radiographs. IEEE Access. 12. 150147–150168. 4 indexed citations

Sun, Guangmin, et al.. (2024). A novel fusion of genetic grey wolf optimization and kernel extreme learning machines for precise diabetic eye disease classification. PLoS ONE. 19(5). e0303094–e0303094. 8 indexed citations

10.

Bilal, Anas, et al.. (2024). Breast cancer diagnosis using support vector machine optimized by improved quantum inspired grey wolf optimization. Scientific Reports. 14(1). 10714–10714. 48 indexed citations

11.

Safdar, Muhammad, et al.. (2023). Synthesis and investigation of catalytic HER/OER performances of Al2SSe in alkaline/acidic media and water detoxification behavior. International Journal of Hydrogen Energy. 50. 107–117. 10 indexed citations

12.

Bilal, Anas, et al.. (2023). EdgeSVDNet: 5G-Enabled Detection and Classification of Vision-Threatening Diabetic Retinopathy in Retinal Fundus Images. Electronics. 12(19). 4094–4094. 47 indexed citations

13.

Long, Haixia, et al.. (2023). NT-GNN: Network Traffic Graph for 5G Mobile IoT Android Malware Detection. Electronics. 12(4). 789–789. 10 indexed citations

14.

Wang, Xiaoxue, Hongqi Zhang, Anas Bilal, Haixia Long, & Xiaowen Liu. (2023). WGM-dSAGA: Federated Learning Strategies with Byzantine Robustness Based on Weighted Geometric Median. Electronics. 12(5). 1190–1190. 3 indexed citations

15.

Bilal, Anas, et al.. (2023). Increasing Crop Quality and Yield with a Machine Learning-Based Crop Monitoring System. Computers, materials & continua/Computers, materials & continua (Print). 76(2). 2401–2426. 23 indexed citations

16.

Latif, Jahanzaib, et al.. (2023). Enhanced Nature Inspired-Support Vector Machine for Glaucoma Detection. Computers, materials & continua/Computers, materials & continua (Print). 76(1). 1151–1172. 14 indexed citations

17.

Bilal, Anas, Muhammad Shafiq, Fang Fang, et al.. (2022). IGWO-IVNet3: DL-Based Automatic Diagnosis of Lung Nodules Using an Improved Gray Wolf Optimization and InceptionNet-V3. Sensors. 22(24). 9603–9603. 52 indexed citations

18.

Mazhar, Sarah, Guangmin Sun, Anas Bilal, et al.. (2022). AUnet: A Deep Learning Framework for Surface Water Channel Mapping Using Large-Coverage Remote Sensing Images and Sparse Scribble Annotations from OSM Data. Remote Sensing. 14(14). 3283–3283. 8 indexed citations

19.

Bilal, Anas, Guangmin Sun, & Sarah Mazhar. (2021). Survey on recent developments in automatic detection of diabetic retinopathy. Journal Français d Ophtalmologie. 44(3). 420–440. 44 indexed citations

20.

Zheng, Kun, et al.. (2019). Using Vehicle Synthesis Generative Adversarial Networks to Improve Vehicle Detection in Remote Sensing Images. ISPRS International Journal of Geo-Information. 8(9). 390–390. 43 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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