Labib M. Labib

578 total citations
14 papers, 382 citations indexed

About

Labib M. Labib is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Labib M. Labib has authored 14 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Labib M. Labib's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Mobile Ad Hoc Networks (2 papers) and Network Security and Intrusion Detection (2 papers). Labib M. Labib is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Mobile Ad Hoc Networks (2 papers) and Network Security and Intrusion Detection (2 papers). Labib M. Labib collaborates with scholars based in Egypt, Saudi Arabia and United States. Labib M. Labib's co-authors include Ahmed I. Saleh, Fatma M. Talaat, Ali I. El-Desouky, El‐Sayed M. El‐kenawy, Mohamed Shehata, Hesham Ali, Mohamed Abou El‐Ghar, Mohammed Ghazal, Ayman El‐Baz and Moumen El-Melegy and has published in prestigious journals such as Sensors, Neural Computing and Applications and Artificial Intelligence Review.

In The Last Decade

Labib M. Labib

13 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Labib M. Labib Egypt	8	219	103	65	63	57	14	382
Majdi Khalid Saudi Arabia	14	119 0.5×	67 0.7×	78 1.2×	48 0.8×	68 1.2×	42	405
Jiangang Ma Australia	11	168 0.8×	77 0.7×	31 0.5×	56 0.9×	55 1.0×	29	468
Gonzalo Ramos-Jiménez Spain	9	426 1.9×	83 0.8×	57 0.9×	64 1.0×	57 1.0×	11	552
Marjan Naderan Iran	13	261 1.2×	277 2.7×	34 0.5×	102 1.6×	103 1.8×	32	529
Mohammad H. Alshayeji Kuwait	13	192 0.9×	93 0.9×	34 0.5×	39 0.6×	154 2.7×	43	509
C. Narmatha Saudi Arabia	11	194 0.9×	132 1.3×	16 0.2×	58 0.9×	163 2.9×	35	506
Diyar Qader Zeebaree Iraq	14	224 1.0×	122 1.2×	24 0.4×	26 0.4×	89 1.6×	23	508
A. Amuthan India	12	194 0.9×	162 1.6×	24 0.4×	23 0.4×	47 0.8×	45	381
Mohammad Abrar Pakistan	15	216 1.0×	81 0.8×	19 0.3×	69 1.1×	163 2.9×	41	546
Jamal Uddin Pakistan	12	71 0.3×	49 0.5×	137 2.1×	71 1.1×	76 1.3×	22	515

Countries citing papers authored by Labib M. Labib

Since Specialization

Citations

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

Fields of papers citing papers by Labib M. Labib

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Labib M. Labib

This figure shows the co-authorship network connecting the top 25 collaborators of Labib M. Labib. A scholar is included among the top collaborators of Labib M. Labib 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 Labib M. Labib. Labib M. Labib is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

Labib, Labib M., et al.. (2025). GY-YOLO: ghost separable YOLO for pedestrian detection. Neural Computing and Applications. 37(20). 14907–14933. 4 indexed citations

Ali, Hesham, et al.. (2025). Multimodality imaging in prostate cancer diagnosis using artificial intelligence: basic concepts and current state-of-the-art. Multimedia Tools and Applications. 84(34). 42649–42678.

Haikal, Amira Y., et al.. (2024). MCHIAO: a modified coronavirus herd immunity-Aquila optimization algorithm based on chaotic behavior for solving engineering problems. Neural Computing and Applications. 36(22). 13381–13465. 5 indexed citations

AbdulAzeem, Yousry, et al.. (2023). An Integrated Machine Learning-Based Brain Computer Interface to Classify Diverse Limb Motor Tasks: Explainable Model. Sensors. 23(6). 3171–3171. 7 indexed citations

Labib, Labib M., et al.. (2023). M²BRTPC: A Novel Modified Multimodal Biometric Recognition for Toddlers and Pre-School Children Approach. MEJ Mansoura Engineering Journal. 48(5). 2 indexed citations

Shehata, Mohamed, Ahmed Alksas, Ali Mahmoud, et al.. (2022). A New Framework for Precise Identification of Prostatic Adenocarcinoma. Sensors. 22(5). 1848–1848. 12 indexed citations

Saleh, Ahmed I., et al.. (2021). A new fog-based routing strategy (FBRS) for vehicular ad-hoc networks. Peer-to-Peer Networking and Applications. 15(1). 386–407. 5 indexed citations

Shehata, Mohamed, Ahmed Shalaby, Mohamed Abou El‐Ghar, et al.. (2021). Role of AI and Histopathological Images in Detecting Prostate Cancer: A Survey. Sensors. 21(8). 2586–2586. 51 indexed citations

Saleh, Ahmed I., et al.. (2019). Gene expression cancer classification using modified K-Nearest Neighbors technique. Biosystems. 176. 41–51. 102 indexed citations

10.

Saleh, Ahmed I., et al.. (2019). A new distributed feature selection technique for classifying gene expression data. International Journal of Biomathematics. 12(4). 1950039–1950039. 14 indexed citations

11.

El-Desouky, Ali I., et al.. (2019). WOA + BRNN: An imbalanced big data classification framework using Whale optimization and deep neural network. Soft Computing. 24(8). 5573–5592. 89 indexed citations

12.

Saleh, Ahmed I., Fatma M. Talaat, & Labib M. Labib. (2017). A hybrid intrusion detection system (HIDS) based on prioritized k-nearest neighbors and optimized SVM classifiers. Artificial Intelligence Review. 51(3). 403–443. 79 indexed citations

13.

Saleh, Ahmed I., et al.. (2017). A New Cooperative Balancing Routing (CBR) Protocol to Enhance the Lifetime of Wireless Sensor Networks. Wireless Personal Communications. 98(3). 2623–2656. 5 indexed citations

14.

Ali, Hesham, et al.. (2016). A Low-Storage Precise IP Traceback Technique Based on Packet Marking and Logging. The Computer Journal. 59(11). 1581–1592. 7 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.

Explore authors with similar magnitude of impact