Иван Ганчев

2.6k total citations
173 papers, 1.5k citations indexed

About

Иван Ганчев is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Иван Ганчев has authored 173 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Computer Networks and Communications, 51 papers in Artificial Intelligence and 47 papers in Electrical and Electronic Engineering. Recurrent topics in Иван Ганчев's work include IPv6, Mobility, Handover, Networks, Security (25 papers), Mobile Agent-Based Network Management (23 papers) and Context-Aware Activity Recognition Systems (23 papers). Иван Ганчев is often cited by papers focused on IPv6, Mobility, Handover, Networks, Security (25 papers), Mobile Agent-Based Network Management (23 papers) and Context-Aware Activity Recognition Systems (23 papers). Иван Ганчев collaborates with scholars based in Ireland, Bulgaria and China. Иван Ганчев's co-authors include Máirtín O’Droma, Zhanlin Ji, Xueji Zhang, Haiyang Zhang, Li Zhao, Chenxu Dai, Shengnan Hao, Nikola S. Nikolov, Xinyi Zeng and Yazhi Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Иван Ганчев

153 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Иван Ганчев Ireland 20 554 338 337 309 258 173 1.5k
S. Baskar India 22 440 0.8× 287 0.8× 320 0.9× 384 1.2× 316 1.2× 72 1.6k
Fahd N. Al‐Wesabi Saudi Arabia 20 426 0.8× 251 0.7× 392 1.2× 537 1.7× 239 0.9× 167 1.7k
Vinu Sundararaj India 10 554 1.0× 324 1.0× 340 1.0× 316 1.0× 373 1.4× 11 1.6k
Zhigao Zheng China 18 382 0.7× 231 0.7× 277 0.8× 414 1.3× 177 0.7× 40 1.3k
Haoxiang Wang United States 23 778 1.4× 536 1.6× 255 0.8× 577 1.9× 417 1.6× 67 2.0k
Rizwan Patan India 25 992 1.8× 474 1.4× 268 0.8× 483 1.6× 412 1.6× 81 2.1k
Irina V. Pustokhina Russia 19 330 0.6× 172 0.5× 287 0.9× 367 1.2× 227 0.9× 63 1.3k
Denis A. Pustokhin Russia 19 328 0.6× 172 0.5× 287 0.9× 362 1.2× 220 0.9× 55 1.2k
Zeng Zeng China 24 485 0.9× 336 1.0× 399 1.2× 507 1.6× 328 1.3× 150 2.2k
S. Neelakandan India 30 754 1.4× 519 1.5× 360 1.1× 743 2.4× 448 1.7× 75 2.5k

Countries citing papers authored by Иван Ганчев

Since Specialization
Citations

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

Fields of papers citing papers by Иван Ганчев

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Иван Ганчев

This figure shows the co-authorship network connecting the top 25 collaborators of Иван Ганчев. A scholar is included among the top collaborators of Иван Ганчев 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 Иван Ганчев. Иван Ганчев 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
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Ji, Zhanlin, et al.. (2024). ASD-Net: a novel U-Net based asymmetric spatial-channel convolution network for precise kidney and kidney tumor image segmentation. Medical & Biological Engineering & Computing. 62(6). 1673–1687. 12 indexed citations
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Ji, Zhanlin, et al.. (2024). BGRD-TransUNet: A Novel TransUNet-Based Model for Ultrasound Breast Lesion Segmentation. IEEE Access. 12. 31182–31196. 13 indexed citations
5.
Hao, Shengnan, et al.. (2024). ST-Double-Net: A Two-Stage Breast Tumor Classification Model Based on Swin Transformer and Weakly Supervised Target Localization. IEEE Access. 12. 117921–117933. 5 indexed citations
6.
Dai, Chenxu, et al.. (2024). BFG&MSF-Net: Boundary Feature Guidance and Multi-Scale Fusion Network for Thyroid Nodule Segmentation. IEEE Access. 12. 78701–78713. 6 indexed citations
7.
Ji, Zhanlin, Xiaoyu Li, Zhiwu Wang, et al.. (2024). CafeNet: A Novel Multi‐Scale Context Aggregation and Multi‐Level Foreground Enhancement Network for Polyp Segmentation. International Journal of Imaging Systems and Technology. 34(5). 10 indexed citations
8.
Dai, Chenxu, et al.. (2024). DLGRAFE-Net: A double loss guided residual attention and feature enhancement network for polyp segmentation. PLoS ONE. 19(9). e0308237–e0308237. 23 indexed citations
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Ji, Zhanlin, et al.. (2024). ResDAC-Net: a novel pancreas segmentation model utilizing residual double asymmetric spatial kernels. Medical & Biological Engineering & Computing. 62(7). 2087–2100. 6 indexed citations
10.
Ганчев, Иван, Zhanlin Ji, & Máirtín O’Droma. (2023). Horizontal IoT Platform EMULSION. Electronics. 12(8). 1864–1864. 6 indexed citations
11.
Hao, Shengnan, et al.. (2023). GSCEU-Net: An End-to-End Lightweight Skin Lesion Segmentation Model with Feature Fusion Based on U-Net Enhancements. Information. 14(9). 486–486. 3 indexed citations
12.
Bai, Wei, Chenxu Dai, Haiyang Zhang, et al.. (2023). Two Novel Models for Traffic Sign Detection Based on YOLOv5s. Axioms. 12(2). 160–160. 33 indexed citations
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Ji, Zhanlin, et al.. (2023). Lung Nodule Detection in Medical Images Based on Improved YOLOv5s. IEEE Access. 11. 76371–76387. 34 indexed citations
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Li, Zhao, et al.. (2023). A Learning-Based End-to-End Wireless Communication System Utilizing a Deep Neural Network Channel Module. IEEE Access. 11. 17441–17453. 9 indexed citations
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Ji, Zhanlin, et al.. (2023). U-Net_dc: A Novel U-Net-Based Model for Endometrial Cancer Cell Image Segmentation. Information. 14(7). 366–366. 2 indexed citations
16.
Ji, Zhanlin, Jinyun Liu, Xinyi Zeng, et al.. (2023). ELCT-YOLO: An Efficient One-Stage Model for Automatic Lung Tumor Detection Based on CT Images. Mathematics. 11(10). 2344–2344. 26 indexed citations
17.
Zeng, Xinyi, et al.. (2023). A Novel Human Activity Recognition Model. 101–106. 1 indexed citations
18.
Ганчев, Иван. (2023). Hot Access network Change (HAC) facilitated by 3P-AAA and 3P-C&B. 2. 1–7.
19.
Hao, Shengnan, et al.. (2021). Novel SDDM Rating Prediction Models for Recommendation Systems. IEEE Access. 9. 101197–101206. 10 indexed citations
20.
Zhang, Haiyang, Иван Ганчев, Nikola S. Nikolov, Zhanlin Ji, & Máirtín O’Droma. (2017). A Hybrid Service Recommendation Prototype Adapted for the UCWW: A Smart-City Orientation. Wireless Communications and Mobile Computing. 2017. 1–11. 4 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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