Saeed Anwar

7.4k total citations · 8 hit papers
102 papers, 3.9k citations indexed

About

Saeed Anwar is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Media Technology. According to data from OpenAlex, Saeed Anwar has authored 102 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Computer Vision and Pattern Recognition, 18 papers in Computational Mechanics and 13 papers in Media Technology. Recurrent topics in Saeed Anwar's work include Advanced Image Processing Techniques (20 papers), Advanced Neural Network Applications (16 papers) and Nanofluid Flow and Heat Transfer (13 papers). Saeed Anwar is often cited by papers focused on Advanced Image Processing Techniques (20 papers), Advanced Neural Network Applications (16 papers) and Nanofluid Flow and Heat Transfer (13 papers). Saeed Anwar collaborates with scholars based in Australia, Saudi Arabia and Pakistan. Saeed Anwar's co-authors include Chongyi Li, Nick Barnes, Fatih Porikli, Shi Qiu, Salman Khan, Fatemeh Sadat Saleh, Deng-Ping Fan, Yuchao Dai, Ajmal Mian and Runmin Cong and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Saeed Anwar

88 papers receiving 3.7k citations

Hit Papers

Underwater scene prior inspired deep underwater image and... 2019 2026 2021 2023 2019 2022 2020 2020 2021 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saeed Anwar Australia 26 2.9k 1.0k 489 352 285 102 3.9k
Haoqiang Fan China 21 2.9k 1.0× 472 0.5× 1.0k 2.1× 493 1.4× 236 0.8× 39 3.9k
Joonki Paik South Korea 33 3.7k 1.3× 1.6k 1.5× 299 0.6× 103 0.3× 88 0.3× 411 4.6k
Yongming Rao China 29 2.4k 0.8× 325 0.3× 828 1.7× 556 1.6× 307 1.1× 49 3.4k
Zhu Li China 32 2.7k 0.9× 520 0.5× 1.1k 2.2× 207 0.6× 352 1.2× 306 4.2k
Liang Wang China 23 2.3k 0.8× 544 0.5× 285 0.6× 193 0.5× 119 0.4× 133 2.9k
Ko Nishino Japan 31 2.7k 0.9× 456 0.4× 283 0.6× 313 0.9× 120 0.4× 112 3.4k
Andreas Koschan United States 27 1.7k 0.6× 455 0.4× 407 0.8× 209 0.6× 130 0.5× 128 2.5k
Björn Stenger Japan 28 2.4k 0.8× 484 0.5× 119 0.2× 146 0.4× 88 0.3× 86 3.0k
Yung‐Yu Chuang Taiwan 32 4.2k 1.5× 774 0.8× 325 0.7× 109 0.3× 94 0.3× 103 4.7k
Seungyong Lee South Korea 35 3.4k 1.2× 1.3k 1.3× 921 1.9× 155 0.4× 161 0.6× 135 4.8k

Countries citing papers authored by Saeed Anwar

Since Specialization
Citations

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

Fields of papers citing papers by Saeed Anwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saeed Anwar

This figure shows the co-authorship network connecting the top 25 collaborators of Saeed Anwar. A scholar is included among the top collaborators of Saeed Anwar 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 Saeed Anwar. Saeed Anwar 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
2.
Usama, Muhammad, Hafeez Anwar, & Saeed Anwar. (2025). Vehicle and license plate recognition with novel dataset for toll collection. Pattern Analysis and Applications. 28(2). 1 indexed citations
3.
Naveed, Humza, Asad Ullah Khan, Shi Qiu, et al.. (2025). A Comprehensive Overview of Large Language Models. ACM Transactions on Intelligent Systems and Technology. 16(5). 1–72. 72 indexed citations breakdown →
4.
Danish, Muhammad, Jawad Ahmad, Pir Muhammad, et al.. (2025). Anodic NiO nanoparticles as high-performance asymmetric supercapacitor devices in hybrid electrolytes. RSC Advances. 15(53). 45665–45677.
5.
Anwar, Saeed, Muhammad Tahir, Chongyi Li, et al.. (2024). Image colorization: A survey and dataset. Information Fusion. 114. 102720–102720. 9 indexed citations
6.
Usman, Muhammad, et al.. (2024). Deep models for multi-view 3D object recognition: a review. Artificial Intelligence Review. 57(12). 6 indexed citations
7.
Dawar, Abdullah, Izharul Haq, Laila A. Al‐Essa, et al.. (2024). Dynamics of nanoparticle diameter and solid–liquid interfacial layer on the Al2O3–H2O nanofluid flow over a uni-directional extending heated surface: a numerical analysis. Journal of Thermal Analysis and Calorimetry. 149(17). 9831–9850. 6 indexed citations
8.
Zhang, Yiqun, Zhenyue Qin, Saeed Anwar, et al.. (2024). Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions. IEEE Transactions on Neural Networks and Learning Systems. 36(3). 5787–5794.
9.
Fu, Weina, Shuai Liu, Saeed Anwar, et al.. (2024). Cefdet: Cognitive Effectiveness Network Based on Fuzzy Inference for Action Detection. 7985–7994. 2 indexed citations
10.
Anwar, Saeed, et al.. (2023). Sequential Vision to Language as Story: A Storytelling Dataset and Benchmarking. IEEE Access. 11. 70805–70818.
11.
Akhtar, Naveed, et al.. (2023). SAT3D: Slot Attention Transformer for 3D Point Cloud Semantic Segmentation. IEEE Transactions on Intelligent Transportation Systems. 24(5). 5456–5466. 25 indexed citations
12.
Naveed, Humza, et al.. (2023). Survey: Image mixing and deleting for data augmentation. Engineering Applications of Artificial Intelligence. 131. 107791–107791. 44 indexed citations
13.
Han, Junlin, Mehrdad Shoeiby, Tim Malthus, et al.. (2022). Underwater Image Restoration via Contrastive Learning and a Real-World Dataset. Remote Sensing. 14(17). 4297–4297. 62 indexed citations
14.
Qin, Zhenyue, Yang Liu, Pan Ji, et al.. (2022). Fusing Higher-Order Features in Graph Neural Networks for Skeleton-Based Action Recognition. IEEE Transactions on Neural Networks and Learning Systems. 35(4). 4783–4797. 65 indexed citations
15.
Hussain, Tanveer, et al.. (2022). Pyramidal Attention for Saliency Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 2877–2887. 16 indexed citations
16.
Qiu, Shi, Saeed Anwar, & Nick Barnes. (2021). PnP-3D: A Plug-and-Play for 3D Point Clouds. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(1). 1312–1319. 26 indexed citations
17.
Qiu, Shi, Saeed Anwar, & Nick Barnes. (2021). Geometric Back-Projection Network for Point Cloud Classification. IEEE Transactions on Multimedia. 24. 1943–1955. 169 indexed citations breakdown →
18.
Barnes, Nick, et al.. (2020). From Depth What Can You See? Depth Completion via Auxiliary Image Reconstruction. 11303–11312. 52 indexed citations
19.
Khan, Mohammad Hussain, et al.. (2007). Patient Satisfaction with Nursing Care. Rawal Medical Journal. 32(1). 28–30. 40 indexed citations
20.
Khan, Mohammad Hussain, et al.. (2004). Assessment of Knowledge, Attitude and Skills of Lady Health Workers. SHILAP Revista de lepidopterología. 3 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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