Junaid Baber

1.9k total citations
52 papers, 1.3k citations indexed

About

Junaid Baber is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Junaid Baber has authored 52 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 8 papers in Computational Theory and Mathematics. Recurrent topics in Junaid Baber's work include Advanced Image and Video Retrieval Techniques (16 papers), Image Retrieval and Classification Techniques (12 papers) and Video Analysis and Summarization (8 papers). Junaid Baber is often cited by papers focused on Advanced Image and Video Retrieval Techniques (16 papers), Image Retrieval and Classification Techniques (12 papers) and Video Analysis and Summarization (8 papers). Junaid Baber collaborates with scholars based in Pakistan, Thailand and United States. Junaid Baber's co-authors include Maheen Bakhtyar, Christine Humblet, Jason B. Cross, Miklós Fehér, David C. Thompson, K. Brajesh, Kristi Fan, Yongbo Hu, Nitin Afzulpurkar and Oh-Young Song and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Junaid Baber

46 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junaid Baber Pakistan 18 468 425 305 232 166 52 1.3k
Thorsten Meinl Germany 11 396 0.8× 487 1.1× 190 0.6× 87 0.4× 45 0.3× 29 1.2k
Sergio Decherchi Italy 20 452 1.0× 853 2.0× 196 0.6× 106 0.5× 45 0.3× 71 1.5k
Cristian R. Munteanu Spain 29 916 2.0× 1.2k 2.7× 199 0.7× 81 0.3× 68 0.4× 122 2.4k
Bernd Wiswedel Germany 10 299 0.6× 441 1.0× 203 0.7× 67 0.3× 46 0.3× 17 1.1k
Tingyang Xu China 24 621 1.3× 567 1.3× 1.2k 4.1× 436 1.9× 42 0.3× 55 2.5k
Volkan Atalay Türkiye 17 548 1.2× 742 1.7× 210 0.7× 430 1.9× 24 0.1× 67 1.6k
Nicolas Cebron Germany 6 224 0.5× 337 0.8× 196 0.6× 92 0.4× 36 0.2× 14 979
Yanlong Zhao China 25 174 0.4× 408 1.0× 469 1.5× 98 0.4× 36 0.2× 135 1.9k
Zhihua Li China 10 277 0.6× 520 1.2× 91 0.3× 71 0.3× 55 0.3× 47 1.2k
Karsten Klein Germany 19 275 0.6× 358 0.8× 165 0.5× 737 3.2× 19 0.1× 79 1.4k

Countries citing papers authored by Junaid Baber

Since Specialization
Citations

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

Fields of papers citing papers by Junaid Baber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junaid Baber

This figure shows the co-authorship network connecting the top 25 collaborators of Junaid Baber. A scholar is included among the top collaborators of Junaid Baber 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 Junaid Baber. Junaid Baber 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.
Nadeem, Muhammad, Junaid Baber, Mohammed Hamdi, et al.. (2024). Vulnerability detection in Java source code using a quantum convolutional neural network with self-attentive pooling, deep sequence, and graph-based hybrid feature extraction. Scientific Reports. 14(1). 7406–7406. 4 indexed citations
2.
Nawaz, Muhammad, et al.. (2023). TPTS: Text pre-processing Techniques for Sindhi Language. 4(3). 1–12. 2 indexed citations
3.
Aycard, Olivier, et al.. (2023). Efficient Detection and Tracking of Human Using 3D LiDAR Sensor. Sensors. 23(10). 4720–4720. 13 indexed citations
4.
Imran, Ali Shariq, et al.. (2022). Attention-Based RU-BiLSTM Sentiment Analysis Model for Roman Urdu. Applied Sciences. 12(7). 3641–3641. 31 indexed citations
5.
Bakhtyar, Maheen, et al.. (2022). Semantic similarity based food entities recognition using WordNet. Journal of Intelligent & Fuzzy Systems. 43(2). 2069–2078. 1 indexed citations
6.
Baber, Junaid, et al.. (2022). Extended framework for Sindhi numerals OCR using gradient orientation histograms. Journal of Intelligent & Fuzzy Systems. 43(2). 2045–2056. 1 indexed citations
7.
Ashraf, Rehan, Sitara Afzal, Attiq Ur Rehman, et al.. (2020). Region-of-Interest Based Transfer Learning Assisted Framework for Skin Cancer Detection. IEEE Access. 8. 147858–147871. 169 indexed citations
8.
Daudpota, Sher Muhammad, et al.. (2019). Video genre identification using clustering-based shot detection algorithm. Signal Image and Video Processing. 13(7). 1413–1420. 7 indexed citations
9.
Daudpota, Sher Muhammad, et al.. (2019). Aspect-Based Opinion Mining on Student’s Feedback for Faculty Teaching Performance Evaluation. IEEE Access. 7. 108729–108741. 76 indexed citations
10.
Rashid, Muhammad Mahbubur, Naveed Sheikh, Abdul Raziq, et al.. (2019). Development of Dynamic Modeling and Fuzzy Logic System by Classical and Modern Strategies for the Control of Quadcopter. American Scientific Research Journal for Engineering, Technology, and Sciences (Global Society of Scientific Research and Researchers). 62(1). 108–114. 1 indexed citations
11.
Zhang, Xin, Jason B. Cross, Jan Antoinette C. Romero, et al.. (2018). In-silico guided discovery of novel CCR9 antagonists. Journal of Computer-Aided Molecular Design. 32(4). 573–582. 3 indexed citations
12.
Baber, Junaid, et al.. (2017). Effective Compression of Center Symmetric Local Binary Pattern. Mehran University Research Journal of Engineering and Technology. 37(2). 209–224. 1 indexed citations
13.
Baber, Junaid, Nitin Afzulpurkar, & Shin’ichi Satoh. (2013). A FRAMEWORK FOR VIDEO SEGMENTATION USING GLOBAL AND LOCAL FEATURES. International Journal of Pattern Recognition and Artificial Intelligence. 27(5). 1355007–1355007. 23 indexed citations
14.
Bakhtyar, Maheen, et al.. (2012). Creating Multi-Level Class Hierarchy for Question Classification with NP Analysis and WordNet. Journal of Digital Information Management. 10(6). 379–388. 1 indexed citations
15.
Guha, Sumanta, et al.. (2012). Mining movies for song sequences with video based music genre identification system. Information Processing & Management. 49(2). 529–544. 3 indexed citations
16.
Baber, Junaid, Richard F. Lowe, John Saunders, & Miklós Fehér. (2012). Automated generation of turn mimetics: Proof of concept study for the MC4 receptor. Bioorganic & Medicinal Chemistry. 20(11). 3565–3574. 1 indexed citations
17.
Bakhtyar, Maheen, et al.. (2012). Creating missing classes automatically to improve question classification in question answering systems. 1. 99–103. 1 indexed citations
18.
Tawa, Gregory J., Junaid Baber, & Christine Humblet. (2009). Computation of 3D queries for ROCS based virtual screens. Journal of Computer-Aided Molecular Design. 23(12). 853–868. 27 indexed citations
19.
Fehér, Miklós, Yinghong Gao, Junaid Baber, William A. Shirley, & John Saunders. (2007). The use of ligand-based de novo design for scaffold hopping and sidechain optimization: Two case studies. Bioorganic & Medicinal Chemistry. 16(1). 422–427. 15 indexed citations
20.
Baber, Junaid & Miklós Fehér. (2004). Predicting Synthetic Accessibility: Application in Drug Discovery and Development. Mini-Reviews in Medicinal Chemistry. 4(6). 681–692. 46 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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