Mesay Belete Bejiga

523 total citations
10 papers, 400 citations indexed

About

Mesay Belete Bejiga is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Mesay Belete Bejiga has authored 10 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 3 papers in Media Technology. Recurrent topics in Mesay Belete Bejiga's work include Advanced Image and Video Retrieval Techniques (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Mesay Belete Bejiga is often cited by papers focused on Advanced Image and Video Retrieval Techniques (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Mesay Belete Bejiga collaborates with scholars based in Italy, Algeria and Germany. Mesay Belete Bejiga's co-authors include Farid Melgani, Abdallah Zeggada, Levent Seyfi, Umut Özkaya, Massimo Donelli, Genc Hoxha, Begüm Demir and Mohamed Lamine Mekhalfi and has published in prestigious journals such as Remote Sensing, IEEE Geoscience and Remote Sensing Letters and Measurement.

In The Last Decade

Mesay Belete Bejiga

10 papers receiving 392 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mesay Belete Bejiga Italy	8	188	134	76	75	61	10	400
Zheng Zhou China	13	129 0.7×	144 1.1×	69 0.9×	43 0.6×	69 1.1×	47	412
Hongyang Bai China	13	109 0.6×	112 0.8×	108 1.4×	35 0.5×	95 1.6×	55	413
Yingying Kong China	8	144 0.8×	90 0.7×	39 0.5×	40 0.5×	81 1.3×	41	288
Hongguang Li China	13	315 1.7×	132 1.0×	138 1.8×	48 0.6×	189 3.1×	37	611
Xinwei Zheng China	8	265 1.4×	133 1.0×	62 0.8×	70 0.9×	183 3.0×	18	522
Haixia Bi China	11	217 1.2×	196 1.5×	79 1.0×	61 0.8×	201 3.3×	27	510
Yuelei Xu China	11	216 1.1×	90 0.7×	38 0.5×	41 0.5×	108 1.8×	41	374
Kun Fu China	11	308 1.6×	156 1.2×	61 0.8×	50 0.7×	216 3.5×	30	509
Zhenhang Huang China	4	305 1.6×	81 0.6×	113 1.5×	22 0.3×	77 1.3×	4	498
Chun Du China	11	127 0.7×	88 0.7×	40 0.5×	136 1.8×	139 2.3×	28	399

Countries citing papers authored by Mesay Belete Bejiga

Since Specialization

Citations

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

Fields of papers citing papers by Mesay Belete Bejiga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mesay Belete Bejiga. 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 Mesay Belete Bejiga. The network helps show where Mesay Belete Bejiga may publish in the future.

Co-authorship network of co-authors of Mesay Belete Bejiga

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

All Works

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10 of 10 papers shown

Bejiga, Mesay Belete, Genc Hoxha, & Farid Melgani. (2020). Improving Text Encoding for Retro-Remote Sensing. IEEE Geoscience and Remote Sensing Letters. 18(4). 622–626. 13 indexed citations

Özkaya, Umut, Farid Melgani, Mesay Belete Bejiga, Levent Seyfi, & Massimo Donelli. (2020). GPR B scan image analysis with deep learning methods. Measurement. 165. 107770–107770. 62 indexed citations

Bejiga, Mesay Belete, Genc Hoxha, & Farid Melgani. (2020). Retro-Remote Sensing With Doc2Vec Encoding. Institutional Research Information System (Università degli Studi di Trento). 89–92. 4 indexed citations

Mekhalfi, Mohamed Lamine, et al.. (2019). Capsule Networks for Object Detection in UAV Imagery. Remote Sensing. 11(14). 1694–1694. 18 indexed citations

Bejiga, Mesay Belete, et al.. (2019). Domain Adversarial Neural Networks for Large-Scale Land Cover Classification. Remote Sensing. 11(10). 1153–1153. 24 indexed citations

Bejiga, Mesay Belete, et al.. (2019). Retro-Remote Sensing: Generating Images From Ancient Texts. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(3). 950–960. 23 indexed citations

Bejiga, Mesay Belete & Farid Melgani. (2018). An Adversarial Approach to Cross-Sensor Hyperspectral Data Classification. Institutional Research Information System (Università degli Studi di Trento). 3575–3578. 6 indexed citations

Bejiga, Mesay Belete & Farid Melgani. (2018). Gan-Based Domain Adaptation for Object Classification. Institutional Research Information System (Università degli Studi di Trento). 12. 1264–1267. 13 indexed citations

Bejiga, Mesay Belete, et al.. (2017). A Convolutional Neural Network Approach for Assisting Avalanche Search and Rescue Operations with UAV Imagery. Remote Sensing. 9(2). 100–100. 186 indexed citations

10.

Bejiga, Mesay Belete, Abdallah Zeggada, & Farid Melgani. (2016). Convolutional neural networks for near real-time object detection from UAV imagery in avalanche search and rescue operations. Institutional Research Information System (Università degli Studi di Trento). 693–696. 51 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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