Guo-Zheng Sun

36 papers receiving 1.2k citations

Hit Papers

Self-focusing of short intense pulses in plasmas19872026200020131987100200300400500

Peers

Guo-Zheng Sun
Comparison fields: 5 of 97
  • Artificial Intelligence 578
  • Nuclear and High Energy Physics 536
  • Atomic and Molecular Physics, and Optics 489
  • Mechanics of Materials 355
  • Electrical and Electronic Engineering 131
Replace Gerardo Iovane with:
Gerardo Iovane Italy
Kang Feng China
Abraham A. Ungar United States
K. K. Sud India
Jacques Calmet Germany
Henning F. Harmuth United States
Rafael Mayo Spain
Masha Sosonkina United States
J. C. A. Barata Brazil
Elise de Doncker United States
Guo-Zheng Sun relative to Gerardo Iovane Italy Gerardo Iovane's profile →
Citations per field
00.5×9.0×
Gerardo Iovane · 1×
Citations per year

Countries citing papers authored by Guo-Zheng Sun

Since Specialization
Citations

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

Fields of papers citing papers by Guo-Zheng Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guo-Zheng Sun. 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 Guo-Zheng Sun. The network helps show where Guo-Zheng Sun may publish in the future.

Co-authorship network of co-authors of Guo-Zheng Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Guo-Zheng Sun. A scholar is included among the top collaborators of Guo-Zheng Sun 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 Guo-Zheng Sun. Guo-Zheng Sun 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
#WorkIndexed citations
1 0
2 0
3 2
4 13
5 3
6 24
7 0
8 2
9 1
10 1
11 41
12
Time Warping Invariant Neural Networks
11
13
Using Prior Knowledge in a NNPDA to Learn Context-Free Languages
15
14
Extracting and Learning an Unknown Grammar with Recurrent Neural Networks
48
15
Green's Function Method for Fast On-Line Learning Algorithm of Recurrent Neural Networks
22
16 5
17
Higher Order Recurrent Networks and Grammatical Inference
68
18
A Novel Net that Learns Sequential Decision Process
6
19 5
20 2

About Guo-Zheng Sun

Guo-Zheng Sun is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural Networks and Applications (13 papers), Machine Learning and Algorithms (8 papers) and semigroups and automata theory (5 papers). The work is most often cited by research in Nuclear and High Energy Physics (536 citations), Artificial Intelligence (578 citations) and Atomic and Molecular Physics, and Optics (489 citations). Guo-Zheng Sun has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Edward Ott, P. N. Guzdar, C. Lee Giles, CLIFFORD B. MILLER, Y. C. Lee, Dong Chen, H. H. Chen, Hsing-Hen Chen, Dong Chen and Gary D. Doolen. Their work appears in journals such as Advanced Functional Materials, Physical Review A and Food Research International.

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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