Adnan Haider

676 total citations
34 papers, 448 citations indexed

About

Adnan Haider is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Adnan Haider has authored 34 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 10 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Artificial Intelligence. Recurrent topics in Adnan Haider's work include Digital Imaging for Blood Diseases (8 papers), Retinal Imaging and Analysis (7 papers) and Advanced Neural Network Applications (6 papers). Adnan Haider is often cited by papers focused on Digital Imaging for Blood Diseases (8 papers), Retinal Imaging and Analysis (7 papers) and Advanced Neural Network Applications (6 papers). Adnan Haider collaborates with scholars based in South Korea, Pakistan and Qatar. Adnan Haider's co-authors include Kang Ryoung Park, Muhammad Arsalan, Muhammad Owais, Jiho Choi, Tahir Mahmood, Tahir Mahmood, Min Beom Lee, Se Hyun Nam, Muhammad Kashif Shahid and Jun Wei Lim and has published in prestigious journals such as Chemosphere, Expert Systems with Applications and IEEE Access.

In The Last Decade

Adnan Haider

27 papers receiving 436 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adnan Haider South Korea 16 203 170 103 93 47 34 448
Arkadiusz Kwasigroch Poland 7 114 0.6× 155 0.9× 48 0.5× 125 1.3× 12 0.3× 12 425
Yanfei Guo China 14 246 1.2× 216 1.3× 62 0.6× 83 0.9× 27 0.6× 45 518
Siti Raihanah Abdani Malaysia 14 294 1.4× 162 1.0× 80 0.8× 98 1.1× 3 0.1× 30 489
Prabhpreet Kaur India 12 185 0.9× 158 0.9× 20 0.2× 178 1.9× 4 0.1× 43 501
Rahul Nijhawan India 11 281 1.4× 128 0.8× 12 0.1× 193 2.1× 8 0.2× 38 598
Bart Elen Belgium 11 257 1.3× 75 0.4× 206 2.0× 41 0.4× 7 0.1× 19 540
Amina Jameel Pakistan 12 243 1.2× 163 1.0× 184 1.8× 28 0.3× 4 0.1× 31 425
Kaiqiong Sun China 9 110 0.5× 189 1.1× 49 0.5× 19 0.2× 13 0.3× 27 315
Ange Lou United States 7 157 0.8× 243 1.4× 9 0.1× 144 1.5× 4 0.1× 19 429
Karolina Nurzyǹska Poland 9 111 0.5× 57 0.3× 40 0.4× 41 0.4× 3 0.1× 50 300

Countries citing papers authored by Adnan Haider

Since Specialization
Citations

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

Fields of papers citing papers by Adnan Haider

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adnan Haider

This figure shows the co-authorship network connecting the top 25 collaborators of Adnan Haider. A scholar is included among the top collaborators of Adnan Haider 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 Adnan Haider. Adnan Haider 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.
Hamed, Mohamed, Asmaa Ahmed, Adnan Haider, et al.. (2025). Outcomes of Intracoronary Imaging–Guided PCI With Optimal Versus Suboptimal Results: A Meta-Analysis. Circulation Cardiovascular Interventions. 18(1). e014681–e014681.
2.
Haider, Adnan, et al.. (2025). Pool Free Rapid Segmentation Network (PFRS-Net) to detect human blastocyst compartments for embryonic assessment. Computers & Electrical Engineering. 127. 110636–110636.
3.
Haider, Adnan, et al.. (2025). Automated Detection and Grading of Renal Cell Carcinoma in Histopathological Images via Efficient Attention Transformer Network. Medical Sciences. 13(4). 257–257. 1 indexed citations
4.
Haider, Adnan, et al.. (2024). Multi-scale and multi-receptive field-based feature fusion for robust segmentation of plant disease and fruit using agricultural images. Applied Soft Computing. 167. 112300–112300. 3 indexed citations
5.
Haider, Adnan, et al.. (2024). Enhancing keypoint detection in Y-Maze behavior test automation: introducing stadium heatmap and squared adaptive wing loss. Multimedia Tools and Applications. 84(25). 29031–29053.
6.
Ibrahim, Muhammad, Adnan Haider, Jun Wei Lim, et al.. (2024). Artificial neural network modeling for the prediction, estimation, and treatment of diverse wastewaters: A comprehensive review and future perspective. Chemosphere. 362. 142860–142860. 37 indexed citations
7.
Arsalan, Muhammad, et al.. (2024). Deep Learning-Based Detection of Human Blastocyst Compartments with Fractal Dimension Estimation. Fractal and Fractional. 8(5). 267–267. 5 indexed citations
8.
9.
Owais, Muhammad, et al.. (2023). MDFU-Net: Multiscale dilated features up-sampling network for accurate segmentation of tumor from heterogeneous brain data. Journal of King Saud University - Computer and Information Sciences. 35(5). 101560–101560. 16 indexed citations
10.
Haider, Adnan, et al.. (2023). Multi-scale feature retention and aggregation for colorectal cancer diagnosis using gastrointestinal images. Engineering Applications of Artificial Intelligence. 125. 106749–106749. 17 indexed citations
11.
Owais, Muhammad, et al.. (2022). Artificial Intelligence-Based Solution in Personalized Computer-Aided Arthroscopy of Shoulder Prostheses. Journal of Personalized Medicine. 12(1). 109–109. 11 indexed citations
12.
Arsalan, Muhammad, Adnan Haider, Se Woon Cho, Yu Hwan Kim, & Kang Ryoung Park. (2022). Human Blastocyst Components Detection Using Multiscale Aggregation Semantic Segmentation Network for Embryonic Analysis. Biomedicines. 10(7). 1717–1717. 18 indexed citations
13.
Arsalan, Muhammad, Adnan Haider, Jiho Choi, & Kang Ryoung Park. (2022). Detecting Blastocyst Components by Artificial Intelligence for Human Embryological Analysis to Improve Success Rate of In Vitro Fertilization. Journal of Personalized Medicine. 12(2). 124–124. 24 indexed citations
14.
Mahmood, Tahir, et al.. (2021). Accurate Segmentation of Nuclear Regions with Multi-Organ Histopathology Images Using Artificial Intelligence for Cancer Diagnosis in Personalized Medicine. Journal of Personalized Medicine. 11(6). 515–515. 26 indexed citations
15.
16.
Owais, Muhammad, et al.. (2021). Multilevel Deep-Aggregated Boosted Network to Recognize COVID-19 Infection from Large-Scale Heterogeneous Radiographic Data. IEEE Journal of Biomedical and Health Informatics. 25(6). 1881–1891. 15 indexed citations
17.
Arsalan, Muhammad, Adnan Haider, Jiho Choi, & Kang Ryoung Park. (2021). Diabetic and Hypertensive Retinopathy Screening in Fundus Images Using Artificially Intelligent Shallow Architectures. Journal of Personalized Medicine. 12(1). 7–7. 19 indexed citations
18.
Hanif, Muhammad Farhan, et al.. (2020). Cutaneous Manifestations in Patients with COVID-19: A Review. 3(3).
19.
Hanif, Muhammad Farhan, et al.. (2020). A Review of the Risk Factors Associated With Poor Outcomes in Patients With Coronavirus Disease 2019. Cureus. 12(9). e10350–e10350. 4 indexed citations
20.
Haider, Adnan, et al.. (2020). Rimegepant in the Treatment of Migraine. 3(2). 1 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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