Tai-Wei Chiang

572 total citations
16 papers, 400 citations indexed

About

Tai-Wei Chiang is a scholar working on Molecular Biology, Cancer Research and Artificial Intelligence. According to data from OpenAlex, Tai-Wei Chiang has authored 16 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Artificial Intelligence. Recurrent topics in Tai-Wei Chiang's work include Circular RNAs in diseases (7 papers), RNA Research and Splicing (6 papers) and Neural Networks and Applications (5 papers). Tai-Wei Chiang is often cited by papers focused on Circular RNAs in diseases (7 papers), RNA Research and Splicing (6 papers) and Neural Networks and Applications (5 papers). Tai-Wei Chiang collaborates with scholars based in Taiwan and United States. Tai-Wei Chiang's co-authors include Chunshien Li, Trees‐Juen Chuang, Chia-Ying Chen, Li-Yuan Hung, Chan-Shuo Wu, Te‐Lun Mai, Yen‐Ju Chen, Yu‐Chen Chen, Chia‐Ning Shen and Yu‐Ting Hsiao and has published in prestigious journals such as Nucleic Acids Research, Molecular Psychiatry and BMC Bioinformatics.

In The Last Decade

Tai-Wei Chiang

16 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tai-Wei Chiang Taiwan 10 240 170 101 91 24 16 400
Bryon Aragam United States 7 100 0.4× 36 0.2× 22 0.2× 104 1.1× 31 1.3× 20 292
Yujia Zheng China 8 49 0.2× 32 0.2× 48 0.5× 183 2.0× 5 0.2× 15 290
Wenjie You China 8 86 0.4× 10 0.1× 30 0.3× 118 1.3× 18 0.8× 18 300
Vu Pham Australia 11 78 0.3× 46 0.3× 7 0.1× 41 0.5× 5 0.2× 25 223
Renliang Sun China 8 64 0.3× 8 0.0× 56 0.6× 94 1.0× 22 0.9× 18 237
Md Momin Al Aziz Canada 12 57 0.2× 70 0.4× 16 0.2× 261 2.9× 6 0.3× 24 336
Andrei Doncescu France 7 63 0.3× 35 0.2× 9 0.1× 53 0.6× 4 0.2× 56 204
Di He China 11 147 0.6× 14 0.1× 7 0.1× 265 2.9× 7 0.3× 26 522
Meirav Zehavi Israel 9 60 0.3× 33 0.2× 30 0.3× 40 0.4× 6 0.3× 90 332

Countries citing papers authored by Tai-Wei Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Tai-Wei Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tai-Wei Chiang. 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 Tai-Wei Chiang. The network helps show where Tai-Wei Chiang may publish in the future.

Co-authorship network of co-authors of Tai-Wei Chiang

This figure shows the co-authorship network connecting the top 25 collaborators of Tai-Wei Chiang. A scholar is included among the top collaborators of Tai-Wei Chiang 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 Tai-Wei Chiang. Tai-Wei Chiang 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.
Ho, Wei-Min, Chia-Ying Chen, Tai-Wei Chiang, & Trees‐Juen Chuang. (2024). A longer time to relapse is associated with a larger increase in differences between paired primary and recurrent IDH wild-type glioblastomas at both the transcriptomic and genomic levels. Acta Neuropathologica Communications. 12(1). 77–77. 2 indexed citations
2.
Chuang, Trees‐Juen, Tai-Wei Chiang, & Chia-Ying Chen. (2023). Assessing the impacts of various factors on circular RNA reliability. Life Science Alliance. 6(5). e202201793–e202201793. 9 indexed citations
3.
Chiang, Tai-Wei, et al.. (2023). FL-circAS: an integrative resource and analysis for full-length sequences and alternative splicing of circular RNAs with nanopore sequencing. Nucleic Acids Research. 52(D1). D115–D123. 14 indexed citations
4.
Chen, Yu‐Chen, Chia-Ying Chen, Tai-Wei Chiang, et al.. (2023). Detecting intragenic trans-splicing events from non-co-linearly spliced junctions by hybrid sequencing. Nucleic Acids Research. 51(15). 7777–7797. 4 indexed citations
5.
Mai, Te‐Lun, Chia-Ying Chen, Yu‐Chen Chen, Tai-Wei Chiang, & Trees‐Juen Chuang. (2022). Trans-genetic effects of circular RNA expression quantitative trait loci and potential causal mechanisms in autism. Molecular Psychiatry. 27(11). 4695–4706. 10 indexed citations
6.
Chiang, Tai-Wei, Te‐Lun Mai, & Trees‐Juen Chuang. (2022). CircMiMi: a stand-alone software for constructing circular RNA-microRNA-mRNA interactions across species. BMC Bioinformatics. 23(1). 164–164. 12 indexed citations
7.
Chen, Chao‐Jung, et al.. (2021). Forming the Strategy for Live Streaming e-Commerce: An Action Research. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 3 indexed citations
8.
Chuang, Trees‐Juen, Yen‐Ju Chen, Chia-Ying Chen, et al.. (2018). Integrative transcriptome sequencing reveals extensive alternative trans-splicing and cis-backsplicing in human cells. Nucleic Acids Research. 46(7). 3671–3691. 63 indexed citations
9.
Hung, Li-Yuan, Yen‐Ju Chen, Te‐Lun Mai, et al.. (2017). An Evolutionary Landscape of A-to-I RNA Editome across Metazoan Species. Genome Biology and Evolution. 10(2). 521–537. 21 indexed citations
10.
11.
Chuang, Trees‐Juen & Tai-Wei Chiang. (2014). Impacts of Pretranscriptional DNA Methylation, Transcriptional Transcription Factor, and Posttranscriptional microRNA Regulations on Protein Evolutionary Rate. Genome Biology and Evolution. 6(6). 1530–1541. 21 indexed citations
12.
Li, Chunshien & Tai-Wei Chiang. (2012). Intelligent financial time series forecasting: A complex neuro-fuzzy approach with multi-swarm intelligence. International Journal of Applied Mathematics and Computer Science. 22(4). 787–800. 17 indexed citations
13.
Li, Chunshien & Tai-Wei Chiang. (2012). Complex Neurofuzzy ARIMA Forecasting—A New Approach Using Complex Fuzzy Sets. IEEE Transactions on Fuzzy Systems. 21(3). 567–584. 89 indexed citations
14.
Li, Chunshien, et al.. (2012). A novel self-organizing complex neuro-fuzzy approach to the problem of time series forecasting. Neurocomputing. 99. 467–476. 34 indexed citations
15.
Li, Chunshien, et al.. (2010). Computational Intelligence Hybrid Learning Approach To Time Series Forecasting. Zenodo (CERN European Organization for Nuclear Research). 43. 772–779. 1 indexed citations
16.
Li, Chunshien, et al.. (2010). Complex neuro-fuzzy intelligent approach to function approximation. 10. 151–156. 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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