Erico Tjoa

2.1k total citations · 1 hit paper
3 papers, 1.2k citations indexed

About

Erico Tjoa is a scholar working on Artificial Intelligence, Health Informatics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Erico Tjoa has authored 3 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Health Informatics and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Erico Tjoa's work include Explainable Artificial Intelligence (XAI) (3 papers), Adversarial Robustness in Machine Learning (2 papers) and COVID-19 diagnosis using AI (1 paper). Erico Tjoa is often cited by papers focused on Explainable Artificial Intelligence (XAI) (3 papers), Adversarial Robustness in Machine Learning (2 papers) and COVID-19 diagnosis using AI (1 paper). Erico Tjoa collaborates with scholars based in Singapore and China. Erico Tjoa's co-authors include Cuntai Guan and Tushar Chouhan and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing and IEEE Transactions on Artificial Intelligence.

In The Last Decade

Erico Tjoa

3 papers receiving 1.2k citations

Hit Papers

A Survey on Explainable Artificial Intelligence (XAI): To... 2020 2026 2022 2024 2020 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erico Tjoa Singapore 3 744 214 211 137 92 3 1.2k
Steven A. Hicks Norway 18 476 0.6× 125 0.6× 355 1.7× 314 2.3× 56 0.6× 67 1.5k
Prajoy Podder Bangladesh 19 463 0.6× 117 0.5× 298 1.4× 143 1.0× 90 1.0× 52 1.2k
Zahra Shakeri Hossein Abad Canada 8 389 0.5× 319 1.5× 279 1.3× 71 0.5× 45 0.5× 15 1.0k
Melissa Berthelot United Kingdom 6 511 0.7× 99 0.5× 346 1.6× 203 1.5× 162 1.8× 11 1.3k
Silvia Seoni Italy 10 281 0.4× 155 0.7× 179 0.8× 55 0.4× 70 0.8× 33 865
Boran Şekeroğlu Cyprus 16 309 0.4× 67 0.3× 262 1.2× 171 1.2× 69 0.8× 51 923
Venkatanareshbabu Kuppili India 21 657 0.9× 71 0.3× 346 1.6× 154 1.1× 252 2.7× 69 1.5k
Mohammad Amin Morid United States 12 293 0.4× 81 0.4× 182 0.9× 85 0.6× 64 0.7× 20 774
Malak Abdullah Jordan 14 670 0.9× 92 0.4× 156 0.7× 97 0.7× 50 0.5× 50 1.2k
Mustafa Ghaderzadeh Iran 17 343 0.5× 55 0.3× 296 1.4× 236 1.7× 88 1.0× 28 810

Countries citing papers authored by Erico Tjoa

Since Specialization
Citations

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

Fields of papers citing papers by Erico Tjoa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erico Tjoa

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

All Works

3 of 3 papers shown
1.
Tjoa, Erico, et al.. (2023). Enhancing the confidence of deep learning classifiers via interpretable saliency maps. Neurocomputing. 562. 126825–126825. 9 indexed citations
2.
Tjoa, Erico & Cuntai Guan. (2022). Quantifying Explainability of Saliency Methods in Deep Neural Networks With a Synthetic Dataset. IEEE Transactions on Artificial Intelligence. 4(4). 858–870. 16 indexed citations
3.
Tjoa, Erico & Cuntai Guan. (2020). A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI. IEEE Transactions on Neural Networks and Learning Systems. 32(11). 4793–4813. 1214 indexed citations breakdown →

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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