Sud Sudirman

1.1k total citations
63 papers, 697 citations indexed

About

Sud Sudirman is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Information Systems. According to data from OpenAlex, Sud Sudirman has authored 63 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 16 papers in Biomedical Engineering and 9 papers in Information Systems. Recurrent topics in Sud Sudirman's work include Medical Imaging and Analysis (15 papers), Advanced Steganography and Watermarking Techniques (9 papers) and Spine and Intervertebral Disc Pathology (8 papers). Sud Sudirman is often cited by papers focused on Medical Imaging and Analysis (15 papers), Advanced Steganography and Watermarking Techniques (9 papers) and Spine and Intervertebral Disc Pathology (8 papers). Sud Sudirman collaborates with scholars based in United Kingdom, Indonesia and Malaysia. Sud Sudirman's co-authors include Chunlin Song, Madjid Merabti, Po Yang, Rujing Wang, Chengjun Xie, Fangyuan Wang, Liu Liu, Friska Natalia, Wancai Liu and Hira Meidia and has published in prestigious journals such as PLoS ONE, IEEE Access and IEEE Transactions on Industrial Informatics.

In The Last Decade

Sud Sudirman

54 papers receiving 655 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sud Sudirman United Kingdom 12 234 205 178 115 51 63 697
Bohan Yang China 13 130 0.6× 272 1.3× 181 1.0× 5 0.0× 16 0.3× 33 728
Md. Mehedi Hasan Bangladesh 10 49 0.2× 195 1.0× 29 0.2× 18 0.2× 22 0.4× 53 417
T. Vijayakumar India 12 124 0.5× 49 0.2× 42 0.2× 12 0.1× 131 2.6× 41 538
R Harikrishnan India 13 48 0.2× 125 0.6× 27 0.2× 7 0.1× 62 1.2× 103 663
Zhizhong Li China 10 179 0.8× 33 0.2× 74 0.4× 27 0.2× 117 2.3× 30 487
Eunsoo Park South Korea 18 171 0.7× 187 0.9× 67 0.4× 1 0.0× 34 0.7× 55 753
Mingmin Liu China 11 40 0.2× 49 0.2× 34 0.2× 23 0.2× 14 0.3× 58 604
Wei Zhan China 11 143 0.6× 90 0.4× 29 0.2× 4 0.0× 41 0.8× 29 390
Jiaming Guo China 15 233 1.0× 54 0.3× 44 0.2× 7 0.1× 93 1.8× 50 481
Noel B. Linsangan Philippines 14 140 0.6× 177 0.9× 87 0.5× 62 1.2× 89 612

Countries citing papers authored by Sud Sudirman

Since Specialization
Citations

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

Fields of papers citing papers by Sud Sudirman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sud Sudirman

This figure shows the co-authorship network connecting the top 25 collaborators of Sud Sudirman. A scholar is included among the top collaborators of Sud Sudirman 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 Sud Sudirman. Sud Sudirman 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.
Farrington, G. King, Sud Sudirman, Chao Fang, et al.. (2025). The Roles of EDA2R in Ageing and Disease. Aging Cell. 24(12). e70282–e70282.
2.
3.
Herdiansyah, Herdis, et al.. (2024). Integrating circular economy, digital economy, and social protection policies to drive green business innovation: Insights from Indonesia’s culinary SMEs. Problems and Perspectives in Management. 22(4). 368–381. 4 indexed citations
4.
Natalia, Friska, et al.. (2024). Lumbar spine MRI annotation with intervertebral disc height and Pfirrmann grade predictions. PLoS ONE. 19(5). e0302067–e0302067. 6 indexed citations
5.
Natalia, Friska, et al.. (2023). Semantic Segmentation and Depth Estimation of Urban Road Scene Images Using Multi-Task Networks. Liverpool John Moores University. 469–474. 2 indexed citations
6.
Abdulhussain, Sadiq H., et al.. (2023). Abstract Pattern Image Generation using Generative Adversarial Networks. Liverpool John Moores University. 172–177.
7.
Natalia, Friska & Sud Sudirman. (2022). A Semi-automated Method to Measure the Height of Lumbar Intervertebral Discs. 32–35. 1 indexed citations
8.
9.
Natalia, Friska, et al.. (2021). Image-Based Skin Cancer Early Detection using CNN Algorithm. 78–83.
10.
Sudirman, Sud, et al.. (2021). Mobile Application for Asthma Prediction using Fuzzy-Certainty Factor Expert System. Liverpool John Moores University. 1 indexed citations
11.
Natalia, Friska, et al.. (2020). Automated measurement of anteroposterior diameter and foraminal widths in MRI images for lumbar spinal stenosis diagnosis. PLoS ONE. 15(11). e0241309–e0241309. 17 indexed citations
12.
Liu, Liu, Chengjun Xie, Rujing Wang, et al.. (2020). Deep Learning Based Automatic Multiclass Wild Pest Monitoring Approach Using Hybrid Global and Local Activated Features. IEEE Transactions on Industrial Informatics. 17(11). 7589–7598. 57 indexed citations
13.
Sudirman, Sud, et al.. (2020). The Effect of Current Ratio and Debt to Asset Ratio on Net Profit Margin and Stock Prices: A Study of Basic Industry and Chemicals Companies. International Journal of Scientific Research in Science and Technology. 282–294. 4 indexed citations
14.
Song, Chunlin, et al.. (2020). A Blockchain Based Buyer-seller Watermark Protocol with Trustless Third Party. Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering). 13(6). 942–950. 4 indexed citations
15.
16.
Sudirman, Sud. (2019). MATLAB source code for developing Ground Truth Dataset, Semantic Segmentation, and Evaluation for the Lumbar Spine MRI Dataset. Data Archiving and Networked Services (DANS). 2. 1 indexed citations
17.
Taylor, Mark, et al.. (2017). The Attitude towards the Use of Mobile Learning Technology Enhanced Teaching. 135–138. 3 indexed citations
18.
Sudirman, Sud, Abir Hussain, Paul Fergus, et al.. (2017). Detecting the Disc Herniation in Segmented Lumbar Spine MR Image Using Centroid Distance Function. TeesRep (Teesside University). 9–13. 3 indexed citations
19.
Sudirman, Sud, et al.. (2010). Robust digital image watermarking using region adaptive embedding technique. 1614 1999. 378–382. 5 indexed citations
20.
Qiu, Guoping & Sud Sudirman. (2000). Representation and Retrieval of Color Image Using Binary Space Partitioning Tree. Color and Imaging Conference. 8(1). 195–201. 2 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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