Paishun Ting

1.1k total citations
16 papers, 384 citations indexed

About

Paishun Ting is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Paishun Ting has authored 16 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Paishun Ting's work include Error Correcting Code Techniques (9 papers), Quantum Computing Algorithms and Architecture (6 papers) and Wireless Communication Security Techniques (4 papers). Paishun Ting is often cited by papers focused on Error Correcting Code Techniques (9 papers), Quantum Computing Algorithms and Architecture (6 papers) and Wireless Communication Security Techniques (4 papers). Paishun Ting collaborates with scholars based in United States and Taiwan. Paishun Ting's co-authors include John P. Hayes, Pin‐Yu Chen, Shin‐Ming Cheng, Sijia Liu, Chun‐Chen Tu, Huan Zhang, Cho‐Jui Hsieh, Jinfeng Yi, Fu-Jen Chu and Bhavya Kailkhura and has published in prestigious journals such as IEEE Communications Magazine, IEEE Transactions on Signal and Information Processing over Networks and IET Computers & Digital Techniques.

In The Last Decade

Paishun Ting

15 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paishun Ting United States	8	313	124	102	68	44	16	384
Borja Balle United Kingdom	12	352 1.1×	38 0.3×	27 0.3×	35 0.5×	23 0.5×	37	407
Yunsheng Bai United States	7	183 0.6×	36 0.3×	40 0.4×	130 1.9×	25 0.6×	20	329
Ke Yuan China	8	191 0.6×	33 0.3×	32 0.3×	342 5.0×	15 0.3×	35	502
Francisco Rodríguez‐Henríquez Mexico	17	641 2.0×	70 0.6×	47 0.5×	186 2.7×	25 0.6×	60	762
Peva Blanchard Switzerland	3	547 1.7×	117 0.9×	48 0.5×	32 0.5×	17 0.4×	5	592
Jamie Hayes United Kingdom	9	502 1.6×	70 0.6×	22 0.2×	249 3.7×	80 1.8×	23	669
Jinliang Fan United States	6	349 1.1×	245 2.0×	26 0.3×	83 1.2×	95 2.2×	10	488
Himanshu Tyagi India	12	134 0.4×	201 1.6×	276 2.7×	110 1.6×	14 0.3×	64	438
Albrecht Petzoldt United States	6	183 0.6×	72 0.6×	75 0.7×	60 0.9×	13 0.3×	10	283
Jeyanthi Hall Canada	6	310 1.0×	168 1.4×	182 1.8×	81 1.2×	122 2.8×	7	456

Countries citing papers authored by Paishun Ting

Since Specialization

Citations

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

Fields of papers citing papers by Paishun Ting

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paishun Ting

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

All Works

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16 of 16 papers shown

1.

Ting, Paishun. (2019). Design of Sequential Stochastic Computing Systems. Deep Blue (University of Michigan). 1 indexed citations

2.

Tu, Chun‐Chen, Paishun Ting, Pin‐Yu Chen, et al.. (2019). AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 742–749. 192 indexed citations

3.

Ting, Paishun & John P. Hayes. (2019). Exploiting Randomness in Stochastic Computing. 16. 1–6. 3 indexed citations

4.

Liu, Sijia, Bhavya Kailkhura, Pin‐Yu Chen, et al.. (2018). Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 31. 3727–3737. 27 indexed citations

5.

Chen, Pin‐Yu, et al.. (2018). Identifying Influential Links for Event Propagation on Twitter: A Network of Networks Approach. IEEE Transactions on Signal and Information Processing over Networks. 5(1). 139–151. 4 indexed citations

6.

Ting, Paishun & John P. Hayes. (2018). Removing constant‐induced errors in stochastic circuits. IET Computers & Digital Techniques. 13(3). 187–197. 1 indexed citations

7.

Ting, Paishun & John P. Hayes. (2018). Maxflow. 21–26. 3 indexed citations

8.

Ting, Paishun & John P. Hayes. (2017). Eliminating a hidden error source in stochastic circuits. 1–6. 13 indexed citations

9.

Ting, Paishun, et al.. (2017). Achieving progressive precision in stochastic computing. 1320–1324. 9 indexed citations

10.

Ting, Paishun, et al.. (2017). FEAST: An Automated Feature Selection Framework for Compilation Tasks. 44. 1138–1145. 3 indexed citations

11.

Ting, Paishun & John P. Hayes. (2017). On the Role of Sequential Circuits in Stochastic Computing. 475–478. 11 indexed citations

12.

Ting, Paishun & John P. Hayes. (2016). Isolation-based decorrelation of stochastic circuits. 88–95. 38 indexed citations

13.

Chen, Pin‐Yu, et al.. (2015). When crowdsourcing meets mobile sensing: a social network perspective. IEEE Communications Magazine. 53(10). 157–163. 34 indexed citations

14.

Chen, Pin‐Yu, et al.. (2015). Supervised Collective Classification for Crowdsourcing. arXiv (Cornell University). 39. 1–6. 4 indexed citations

15.

Ting, Paishun & John P. Hayes. (2014). Stochastic Logic Realization of Matrix Operations. 356–364. 36 indexed citations

16.

Ting, Paishun, et al.. (2007). EXACT SOLUTIONS TO MACCARI’S SYSTEM. 48. 7–7. 5 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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