Shoffan Saifullah

937 total citations
70 papers, 509 citations indexed

About

Shoffan Saifullah is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shoffan Saifullah has authored 70 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 23 papers in Information Systems and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shoffan Saifullah's work include Brain Tumor Detection and Classification (11 papers), Food and Agricultural Sciences (10 papers) and Computer Science and Engineering (10 papers). Shoffan Saifullah is often cited by papers focused on Brain Tumor Detection and Classification (11 papers), Food and Agricultural Sciences (10 papers) and Computer Science and Engineering (10 papers). Shoffan Saifullah collaborates with scholars based in Indonesia, Poland and Malaysia. Shoffan Saifullah's co-authors include Rafał Dreżewski, Anton Yudhana, Sunardi Sunardi, Felix Andika Dwiyanto, Li-Hua Li, Andri Pranolo, Lean Karlo S. Tolentino, Alin Khaliduzzaman, Bambang Darmo Yuwono and Aji Prasetya Wibawa and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Applied Sciences.

In The Last Decade

Shoffan Saifullah

61 papers receiving 492 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shoffan Saifullah Indonesia 14 185 109 107 100 79 70 509
Vinay Gautam India 14 97 0.5× 77 0.7× 45 0.4× 37 0.4× 19 0.2× 90 881
Naresh Kumar Trivedi India 13 99 0.5× 64 0.6× 40 0.4× 17 0.2× 28 0.4× 73 615
Kanwarpartap Singh Gill India 10 155 0.8× 83 0.8× 31 0.3× 19 0.2× 30 0.4× 192 662
Tonglai Liu China 9 50 0.3× 40 0.4× 61 0.6× 27 0.3× 15 0.2× 41 287
Rachida Ait Abdelouahid Morocco 11 203 1.1× 36 0.3× 49 0.5× 10 0.1× 47 0.6× 20 455
Nusrat Jahan Bangladesh 11 95 0.5× 37 0.3× 29 0.3× 32 0.3× 12 0.2× 68 357
Jatinder Manhas India 12 186 1.0× 69 0.6× 25 0.2× 4 0.0× 30 0.4× 32 475
Neelamadhab Padhy India 10 132 0.7× 205 1.9× 30 0.3× 10 0.1× 156 2.0× 50 486
Poonam Dhiman India 8 65 0.4× 66 0.6× 59 0.6× 10 0.1× 20 0.3× 14 498
Esti Suryani Indonesia 11 121 0.7× 155 1.4× 93 0.9× 11 0.1× 13 0.2× 73 362

Countries citing papers authored by Shoffan Saifullah

Since Specialization
Citations

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

Fields of papers citing papers by Shoffan Saifullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoffan Saifullah

This figure shows the co-authorship network connecting the top 25 collaborators of Shoffan Saifullah. A scholar is included among the top collaborators of Shoffan Saifullah 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 Shoffan Saifullah. Shoffan Saifullah 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.
Saifullah, Shoffan, et al.. (2025). Bio-Inspired Metaheuristics in Deep Learning for Brain Tumor Segmentation: A Decade of Advances and Future Directions. Information. 16(6). 456–456. 1 indexed citations
2.
Saifullah, Shoffan & Rafał Dreżewski. (2025). GA-UNet: Genetic Algorithm-Optimized Lightweight U-Net Architecture for Multi-Sequence Brain Tumor MRI Segmentation. IEEE Access. 13. 175010–175024.
3.
Saifullah, Shoffan. (2025). Comparative Analysis of Long Short-Term Memory and Gated Recurrent Unit Models for Chicken Egg Fertility Classification Using Deep Learning. SHILAP Revista de lepidopterología. 7–7. 1 indexed citations
4.
Saifullah, Shoffan, et al.. (2025). Automatic Brain Tumor Segmentation: Advancing U-Net With ResNet50 Encoder for Precise Medical Image Analysis. IEEE Access. 13. 43473–43489. 9 indexed citations
5.
Saifullah, Shoffan & Rafał Dreżewski. (2024). Redefining brain tumor segmentation: a cutting-edge convolutional neural networks-transfer learning approach. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 14(3). 2583–2583. 10 indexed citations
6.
Li, Li-Hua, et al.. (2024). ViT-CB: Integrating hybrid Vision Transformer and CatBoost to enhanced brain tumor detection with SHAP. Biomedical Signal Processing and Control. 100. 107027–107027. 17 indexed citations
7.
Saifullah, Shoffan, et al.. (2024). Automated Text Annotation Using a Semi-Supervised Approach with Meta Vectorizer and Machine Learning Algorithms for Hate Speech Detection. Applied Sciences. 14(3). 1078–1078. 8 indexed citations
8.
Saifullah, Shoffan, et al.. (2024). Text annotation automation for hate speech detection using SVM-classifier based on feature extraction. AIP conference proceedings. 3167. 40003–40003. 1 indexed citations
9.
Saifullah, Shoffan & Rafał Dreżewski. (2024). Improved Brain Tumor Segmentation Using Modified U-Net based on Particle Swarm Optimization Image Enhancement. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 611–614. 11 indexed citations
10.
Pranolo, Andri, et al.. (2024). High-performance traffic volume prediction: An evaluation of RNN, GRU, and CNN for accuracy and computational trade-offs. SHILAP Revista de lepidopterología. 148. 2034–2034.
11.
Saifullah, Shoffan, et al.. (2023). Detection of Chest X-ray Abnormalities Using CNN Based on Hyperparameter Optimization. SHILAP Revista de lepidopterología. 223–223. 2 indexed citations
12.
Saifullah, Shoffan, et al.. (2023). Essay auto-scoring using N-Gram and Jaro Winkler based Indonesian Typos. Matrik Jurnal Manajemen Teknik Informatika dan Rekayasa Komputer. 22(2). 325–338.
13.
Saifullah, Shoffan, Rafał Dreżewski, Anton Yudhana, et al.. (2023). Nondestructive Chicken Egg Fertility Detection Using CNN-Transfer Learning Algorithms. Selamat Datang di Repository UAD (Universitas Ahmad Dahlan). 9(3). 854–871. 2 indexed citations
14.
Saifullah, Shoffan, et al.. (2022). K-Means Segmentation Based-on Lab Color Space for Embryo Detection in Incubated Egg. arXiv (Cornell University). 8(2). 175–175. 12 indexed citations
15.
Saifullah, Shoffan, et al.. (2022). Sentiment analysis of Indonesian reviews using fine-tuning IndoBERT and R-CNN. SHILAP Revista de lepidopterología. 14(3). 348–354. 11 indexed citations
16.
17.
Saifullah, Shoffan, et al.. (2021). Fish detection using morphological approach based-on k-means segmentation. arXiv (Cornell University). 10(1). 7 indexed citations
18.
Saifullah, Shoffan. (2020). ANALISIS PERBANDINGAN HE DAN CLAHE PADA IMAGE ENHANCEMENT DALAM PROSES SEGMENASI CITRA UNTUK DETEKSI FERTILITAS TELUR. Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI). 9(1). 134–134. 10 indexed citations
19.
Yudhana, Anton, et al.. (2017). Identity Analysis of Egg Based on Digital and Thermal Imaging: Image Processing and Counting Object Concept. Zenodo (CERN European Organization for Nuclear Research). 8 indexed citations
20.
Saifullah, Shoffan, et al.. (2016). PENGEMBANGAN SISTEM PENJADWALAN KULIAH MENGGUNAKAN ALGORITMA STEEPEST ASCENT HILL CLIMBING. 6(2). 5 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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