Bahetiyaer Bare

546 total citations
16 papers, 386 citations indexed

About

Bahetiyaer Bare is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Infectious Diseases. According to data from OpenAlex, Bahetiyaer Bare has authored 16 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 7 papers in Media Technology and 0 papers in Infectious Diseases. Recurrent topics in Bahetiyaer Bare's work include Advanced Image Processing Techniques (9 papers), Advanced Vision and Imaging (7 papers) and Visual Attention and Saliency Detection (6 papers). Bahetiyaer Bare is often cited by papers focused on Advanced Image Processing Techniques (9 papers), Advanced Vision and Imaging (7 papers) and Visual Attention and Saliency Detection (6 papers). Bahetiyaer Bare collaborates with scholars based in China, United States and Singapore. Bahetiyaer Bare's co-authors include Bo Yan, Weimin Tan, Ke Li, Steven C. H. Hoi, Xuejing Niu, Bailan Feng, Hamid Gharavi, Ke Li, Ke Li and Xiaoyu Qi and has published in prestigious journals such as Neurocomputing, IEEE Transactions on Multimedia and Signal Processing Image Communication.

In The Last Decade

Bahetiyaer Bare

16 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bahetiyaer Bare China 9 372 194 13 12 10 16 386
Lean Fu China 5 255 0.7× 131 0.7× 7 0.5× 11 0.9× 6 0.6× 5 277
Assaf Shocher Israel 4 246 0.7× 101 0.5× 5 0.4× 8 0.7× 4 0.4× 6 275
Xinchen Ye China 5 316 0.8× 158 0.8× 11 0.8× 11 0.9× 17 1.7× 7 332
Sunil Jaiswal India 10 251 0.7× 104 0.5× 10 0.8× 13 1.1× 23 2.3× 35 293
Jan Kotera Czechia 7 206 0.6× 110 0.6× 11 0.8× 8 0.7× 5 0.5× 15 227
Maitreya Suin India 7 275 0.7× 137 0.7× 4 0.3× 11 0.9× 6 0.6× 10 295
Nicola Asuni Italy 6 390 1.0× 130 0.7× 35 2.7× 14 1.2× 6 0.6× 6 420
Longcun Jin China 7 233 0.6× 114 0.6× 5 0.4× 15 1.3× 12 1.2× 16 264
Jingtao Xu China 8 596 1.6× 370 1.9× 14 1.1× 14 1.2× 9 0.9× 12 635
Nikolay Kobyshev Switzerland 4 357 1.0× 125 0.6× 3 0.2× 10 0.8× 23 2.3× 7 384

Countries citing papers authored by Bahetiyaer Bare

Since Specialization
Citations

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

Fields of papers citing papers by Bahetiyaer Bare

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bahetiyaer Bare

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

All Works

16 of 16 papers shown
1.
Li, Jichun, Bahetiyaer Bare, Shili Zhou, Bo Yan, & Ke Li. (2021). Organ-Branched CNN for Robust Face Super-Resolution. 1–6. 5 indexed citations
2.
Yan, Bo, et al.. (2020). Disparity-Aware Domain Adaptation in Stereo Image Restoration. 13176–13184. 42 indexed citations
3.
Yan, Bo, Bahetiyaer Bare, & Weimin Tan. (2019). Naturalness-Aware Deep No-Reference Image Quality Assessment. IEEE Transactions on Multimedia. 21(10). 2603–2615. 89 indexed citations
4.
Bare, Bahetiyaer, et al.. (2019). Real-time video super-resolution via motion convolution kernel estimation. Neurocomputing. 367. 236–245. 14 indexed citations
5.
Yan, Bo, et al.. (2019). Deep Objective Quality Assessment Driven Single Image Super-Resolution. IEEE Transactions on Multimedia. 21(11). 2957–2971. 46 indexed citations
6.
Yan, Bo, Xuejing Niu, Bahetiyaer Bare, & Weimin Tan. (2019). Semantic Segmentation Guided Pixel Fusion for Image Retargeting. IEEE Transactions on Multimedia. 22(3). 676–687. 26 indexed citations
7.
Li, Ke, et al.. (2018). Face Hallucination Based on Key Parts Enhancement. 1378–1382. 6 indexed citations
8.
Bare, Bahetiyaer, et al.. (2018). A Deep Learning Based No-Reference Image Quality Assessment Model for Single-Image Super-Resolution. 1223–1227. 18 indexed citations
9.
Tan, Weimin, Bo Yan, & Bahetiyaer Bare. (2018). Feature Super-Resolution: Make Machine See More Clearly. 3994–4002. 40 indexed citations
11.
Bare, Bahetiyaer, Ke Li, & Bo Yan. (2017). An accurate deep convolutional neural networks model for no-reference image quality assessment. 1356–1361. 27 indexed citations
12.
Li, Ke, Bahetiyaer Bare, & Bo Yan. (2017). An efficient deep convolutional neural networks model for compressed image deblocking. 51 indexed citations
13.
Yan, Bo, Bahetiyaer Bare, Ke Li, Jun Li, & Alan C. Bovik. (2017). Learning quality assessment of retargeted images. Signal Processing Image Communication. 56. 12–19. 7 indexed citations
14.
Bare, Bahetiyaer, Ke Li, Bo Yan, Xiaoyu Qi, & Hamid Gharavi. (2015). Pixel fusion based stereo image retargeting. 1–6. 8 indexed citations
15.
Li, Ke, et al.. (2015). Improved seam carving for image retargeting with sift feature preservation. 672–676. 3 indexed citations
16.
Bare, Bahetiyaer, Ke Li, Weiyi Wang, & Bo Yan. (2014). Learning to Assess Image Retargeting. 925–928. 2 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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