Tsang Ing Ren

2.6k total citations
122 papers, 1.5k citations indexed

About

Tsang Ing Ren is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Tsang Ing Ren has authored 122 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Computer Vision and Pattern Recognition, 42 papers in Artificial Intelligence and 21 papers in Signal Processing. Recurrent topics in Tsang Ing Ren's work include Face and Expression Recognition (23 papers), Image Retrieval and Classification Techniques (16 papers) and Neural Networks and Applications (13 papers). Tsang Ing Ren is often cited by papers focused on Face and Expression Recognition (23 papers), Image Retrieval and Classification Techniques (16 papers) and Neural Networks and Applications (13 papers). Tsang Ing Ren collaborates with scholars based in Brazil, Belgium and United States. Tsang Ing Ren's co-authors include George D. C. Cavalcanti, Rafael M. O. Cruz, Robert Sabourin, M. A. F. Gomes, Jan Sijbers, Vinícius M. Mello, Viviane M. de Oliveira, Bruno Fernandes, Fidel A. Guerrero Peña and Paulo R. A. Campos and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Tsang Ing Ren

114 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
Tsang Ing Ren Brazil 21 588 518 164 140 135 122 1.5k
Wesley De Neve Belgium 23 823 1.4× 561 1.1× 108 0.7× 132 0.9× 367 2.7× 149 2.0k
Tariq Ali Pakistan 27 406 0.7× 398 0.8× 222 1.4× 112 0.8× 52 0.4× 194 2.6k
Seba Susan India 19 447 0.8× 707 1.4× 190 1.2× 145 1.0× 76 0.6× 105 1.3k
Yi Chen China 22 612 1.0× 555 1.1× 108 0.7× 77 0.6× 152 1.1× 139 2.1k
Michel A. Westenberg Netherlands 16 966 1.6× 250 0.5× 74 0.5× 243 1.7× 117 0.9× 52 1.4k
Yudong Tao United States 13 385 0.7× 622 1.2× 110 0.7× 50 0.4× 111 0.8× 50 1.5k
Odemir Martinez Bruno Brazil 27 1.3k 2.2× 424 0.8× 98 0.6× 250 1.8× 94 0.7× 159 3.0k
Xiao Zhang China 18 292 0.5× 256 0.5× 71 0.4× 39 0.3× 75 0.6× 113 1.3k

Countries citing papers authored by Tsang Ing Ren

Since Specialization
Citations

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

Fields of papers citing papers by Tsang Ing Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tsang Ing Ren. 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 Tsang Ing Ren. The network helps show where Tsang Ing Ren may publish in the future.

Co-authorship network of co-authors of Tsang Ing Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Tsang Ing Ren. A scholar is included among the top collaborators of Tsang Ing Ren 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 Tsang Ing Ren. Tsang Ing Ren 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.
Ren, Tsang Ing, et al.. (2024). Artificial Neural Network-Assisted Facial Analysis for Planning of Orthognathic Surgery. Journal of Clinical and Experimental Dentistry. 16(11). e1386–e1392.
2.
Ren, Tsang Ing, et al.. (2022). An Ensemble Learning Method for Segmentation Fusion. 2022 International Joint Conference on Neural Networks (IJCNN). 1–6. 1 indexed citations
3.
Macêdo, David, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, & Teresa B. Ludermir. (2021). Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples. IEEE Transactions on Neural Networks and Learning Systems. 33(6). 2350–2364. 17 indexed citations
4.
Peña, Fidel A. Guerrero, et al.. (2020). J Regularization Improves Imbalanced Multiclass Segmentation. CaltechAUTHORS (California Institute of Technology). 12 indexed citations
5.
Macêdo, David, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, & Teresa B. Ludermir. (2019). Isotropy Maximization Loss and Entropic Score: Accurate, Fast, Efficient, Scalable, and Turnkey Neural Networks Out-of-Distribution Detection Based on The Principle of Maximum Entropy. arXiv (Cornell University).
6.
Stošić, Dušan, Dušan Stošić, Darko Stošić, et al.. (2019). Natural image segmentation with non-extensive mixture models. Journal of Visual Communication and Image Representation. 63. 102598–102598. 4 indexed citations
7.
Ren, Tsang Ing, et al.. (2017). Principal Component Analysis for Supervised Learning: a minimum classification error approach. Cadernos de Linguística e Teoria da Literatura (Universidade Federal de Minas Gerais). 8(2). 131–131. 3 indexed citations
8.
Janssens, Eline, George D. C. Cavalcanti, Tsang Ing Ren, et al.. (2017). Inline discrete tomography system: Application to agricultural product inspection. Lirias (KU Leuven). 20 indexed citations
9.
Cavalcanti, George D. C., et al.. (2015). A bootstrap-based iterative selection for ensemble generation. 1–7. 3 indexed citations
10.
Cavalcanti, George D. C., et al.. (2014). Data-driven global-ranking local feature selection methods for text categorization. Expert Systems with Applications. 42(4). 1941–1949. 42 indexed citations
11.
12.
Cavalcanti, George D. C., et al.. (2013). ATISA: Adaptive Threshold-based Instance Selection Algorithm. Expert Systems with Applications. 40(17). 6894–6900. 20 indexed citations
13.
Ren, Tsang Ing, et al.. (2012). Pupil segmentation using Pulling & Pushing and BSOM neural network. 4. 2359–2364. 3 indexed citations
14.
Ren, Tsang Ing, et al.. (2012). Retinal vessel segmentation using Average of Synthetic Exact Filters and Hessian matrix. 2017–2020. 9 indexed citations
15.
Vasconcelos, Germano C., et al.. (2011). BSOM network for pupil segmentation. 2704–2709. 4 indexed citations
16.
Cavalcanti, George D. C., et al.. (2010). A New Heterogeneous Dissimilarity Measure for Data Classification. 6. 373–374. 2 indexed citations
17.
Fernandes, Bruno, George D. C. Cavalcanti, & Tsang Ing Ren. (2008). Classification and Segmentation of Visual Patterns Based on Receptive and Inhibitory Fields. 1. 126–131. 5 indexed citations
18.
Oliveira, Viviane M. de, M. A. F. Gomes, & Tsang Ing Ren. (2005). Theoretical model for the evolution of the linguistic diversity. Physica A Statistical Mechanics and its Applications. 361(1). 361–370. 40 indexed citations
19.
Ren, Tsang Ing, et al.. (2002). Handwritten character recognition based on moment features derived from image partition. 2. 939–942. 14 indexed citations
20.
Ren, Tsang Ing, et al.. (1999). Image coding using neighbourhood relations. Pattern Recognition Letters. 20(11-13). 1279–1286. 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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