Tingfang Wu

1.2k total citations
55 papers, 828 citations indexed

About

Tingfang Wu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Tingfang Wu has authored 55 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 20 papers in Computational Theory and Mathematics and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Tingfang Wu's work include DNA and Biological Computing (32 papers), Advanced biosensing and bioanalysis techniques (29 papers) and RNA and protein synthesis mechanisms (13 papers). Tingfang Wu is often cited by papers focused on DNA and Biological Computing (32 papers), Advanced biosensing and bioanalysis techniques (29 papers) and RNA and protein synthesis mechanisms (13 papers). Tingfang Wu collaborates with scholars based in China, Romania and Malaysia. Tingfang Wu's co-authors include Linqiang Pan, Andrei Păun, Qiang Lyu, Ferrante Neri, Pan Zheng, Tao Song, Gheorghe Pǎun, Zhiqiang Zhang, M. L. Dennis Wong and Alfonso Rodríguez‐Patón and has published in prestigious journals such as Nature Communications, Bioinformatics and Journal of Molecular Biology.

In The Last Decade

Tingfang Wu

51 papers receiving 812 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tingfang Wu China 16 723 266 250 179 76 55 828
David Orellana-Martín Spain 15 455 0.6× 150 0.6× 237 0.9× 129 0.7× 147 1.9× 60 656
Prithwineel Paul India 10 321 0.4× 150 0.6× 127 0.5× 85 0.5× 60 0.8× 31 426
Ignacio Pérez–Hurtado Spain 14 548 0.8× 81 0.3× 306 1.2× 150 0.8× 79 1.0× 49 648
Henry N. Adorna Philippines 13 545 0.8× 168 0.6× 219 0.9× 152 0.8× 54 0.7× 52 594
Jianping Dong China 11 233 0.3× 102 0.4× 92 0.4× 75 0.4× 41 0.5× 25 308
Takashi Yokomori Japan 13 1.0k 1.4× 167 0.6× 395 1.6× 400 2.2× 310 4.1× 63 1.3k
Rudolf Freund Austria 16 952 1.3× 79 0.3× 490 2.0× 413 2.3× 134 1.8× 119 1.0k
Gianluca Tempesti Switzerland 16 282 0.4× 187 0.7× 321 1.3× 265 1.5× 398 5.2× 66 760
André Stauffer Switzerland 16 281 0.4× 201 0.8× 311 1.2× 313 1.7× 438 5.8× 57 814
Daniel Mange Switzerland 16 306 0.4× 167 0.6× 338 1.4× 325 1.8× 465 6.1× 59 816

Countries citing papers authored by Tingfang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Tingfang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingfang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Tingfang Wu. A scholar is included among the top collaborators of Tingfang Wu 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 Tingfang Wu. Tingfang Wu 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.
2.
Quan, Lijun, Zhihong Zhang, Zhijun Zhang, et al.. (2025). PaRPI predicts RNA-Protein interactions from cross-protocol and cross-batch RNA-binding protein datasets. Communications Biology. 8(1). 1396–1396.
3.
Wu, Tingfang, Luis Valencia–Cabrera, Mario J. Pérez-Jímenez, & Linqiang Pan. (2024). Spiking neural P systems with mute rules. Information and Computation. 299. 105179–105179.
4.
Ma, Xiaoguang, Tingfang Wu, Geng Li, et al.. (2024). DSE-HNGCN: Predicting the frequencies of drug-side effects based on heterogeneous networks with mining interactions between drugs and side effects. Journal of Molecular Biology. 437(6). 168916–168916. 1 indexed citations
5.
Wang, Xuejiao, Tingfang Wu, Pan Deng, et al.. (2024). RPEMHC: improved prediction of MHC–peptide binding affinity by a deep learning approach based on residue–residue pair encoding. Bioinformatics. 40(1). 8 indexed citations
6.
Quan, Lijun, et al.. (2024). MultiModRLBP: A Deep Learning Approach for Multi-Modal RNA-Small Molecule Ligand Binding Sites Prediction. IEEE Journal of Biomedical and Health Informatics. 28(8). 4995–5006. 11 indexed citations
7.
8.
Wu, Tingfang, et al.. (2023). TransRNAm: Identifying Twelve Types of RNA Modifications by an Interpretable Multi-Label Deep Learning Model Based on Transformer. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(6). 3623–3634. 4 indexed citations
9.
Quan, Lijun, Kailong Li, Yan Li, et al.. (2023). DGCddG: Deep Graph Convolution for Predicting Protein-Protein Binding Affinity Changes Upon Mutations. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(3). 2089–2100. 11 indexed citations
10.
Wu, Tingfang & Linqiang Pan. (2022). Spiking Neural P Systems With Communication on Request and Mute Rules. IEEE Transactions on Parallel and Distributed Systems. 34(2). 734–745. 5 indexed citations
11.
Li, Qirui, et al.. (2022). Research on Path Planning of Mobile Robot Based on Improved A-Star Algorithm. 49. 251–255. 1 indexed citations
12.
Quan, Lijun, et al.. (2022). TransPPMP: predicting pathogenicity of frameshift and non-sense mutations by a Transformer based on protein features. Bioinformatics. 38(10). 2705–2711. 9 indexed citations
13.
Wu, Tingfang & Linqiang Pan. (2020). The computation power of spiking neural P systems with polarizations adopting sequential mode induced by minimum spike number. Neurocomputing. 401. 392–404. 19 indexed citations
14.
Song, Tao, Linqiang Pan, Tingfang Wu, et al.. (2019). Spiking Neural P Systems With Learning Functions. IEEE Transactions on NanoBioscience. 18(2). 176–190. 92 indexed citations
15.
Wu, Tingfang, Linqiang Pan, & Artiom Alhazov. (2018). Computation power of asynchronous spiking neural P systems with polarizations. Theoretical Computer Science. 777. 474–489. 15 indexed citations
16.
Pan, Linqiang, Tingfang Wu, Yansen Su, & Athanasios V. Vasilakos. (2017). Cell-Like Spiking Neural P Systems With Request Rules. IEEE Transactions on NanoBioscience. 16(6). 513–522. 32 indexed citations
17.
Wu, Tingfang, et al.. (2017). Spiking Neural P Systems With Polarizations. IEEE Transactions on Neural Networks and Learning Systems. 29(8). 3349–3360. 110 indexed citations
18.
Wu, Tingfang, et al.. (2017). Spiking neural P systems with rules on synapses and anti-spikes. Theoretical Computer Science. 724. 13–27. 7 indexed citations
19.
Wu, Tingfang, et al.. (2016). Cell-like spiking neural P systems. Theoretical Computer Science. 623. 180–189. 64 indexed citations
20.
Wu, Tingfang, et al.. (2016). Numerical P systems with migrating variables. Theoretical Computer Science. 641. 85–108. 13 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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