Ju Lin

32 papers receiving 348 citations

Peers

Ju Lin
Comparison fields: 5 of 50
  • Signal Processing 135
  • Statistical and Nonlinear Physics 51
  • Artificial Intelligence 108
  • Human-Computer Interaction 17
  • Computational Mathematics 1
Replace Georgios Rizos with:
Georgios Rizos United Kingdom
Manuel Moussallam France
Tarik Crnovrsanin United States
Chung-Yi Weng Taiwan
Jung-Hyun Kim South Korea
Ayush Agarwal India
Gaëtan Hadjeres France
Markus Koppenberger Spain
Christof Stocker Austria
Jeff Bilmes United States
Ju Lin relative to Georgios Rizos United Kingdom Georgios Rizos's profile →
Citations per field
00.5×2×3×4.2×
Georgios Rizos · 1×
Citations per year

Countries citing papers authored by Ju Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ju Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ju Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ju Lin Line = papers co-authored together Ju Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202087
2 202162
3 201833
4 202128
5
On Solution of the Dullin-Gottwald-Holm Equation
200622
6 201815
7 201915
8 202013
9 202111
10 20169
11
One-soliton Solution of Dullin-Gottwald-Holm Equation
20068
12 20167
13 20216
14 20226
15 20205
16 20215
17 20235
18 20245
19 20245
20 20255

About Ju Lin

Ju Lin is a scholar working on Signal Processing, Artificial Intelligence, Statistical and Nonlinear Physics, Oceanography and Ocean Engineering, having authored 34 papers that have together received 372 indexed citations. Recurring topics across this work include Speech and Audio Processing (16 papers), Speech Recognition and Synthesis (14 papers), Underwater Acoustics Research (3 papers), Nonlinear Waves and Solitons (2 papers), Speech and dialogue systems (2 papers), Underwater Vehicles and Communication Systems (2 papers), stochastic dynamics and bifurcation (1 paper) and Oceanographic and Atmospheric Processes (1 paper). The work is most often cited by research in Signal Processing (135 citations), Statistical and Nonlinear Physics (51 citations), Artificial Intelligence (108 citations), Human-Computer Interaction (17 citations) and Computational Mathematics (1 citation). Ju Lin has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Melissa C. Smith, Kuang‐Ching Wang, Adriaan J. van Wijngaarden, Bingsheng Yao, Dakuo Wang, Hui Su, Michael J. Muller, Jaimie Drozdal, Justin D. Weisz and Jinsong Zhang. Their work appears in journals such as Ocean Engineering, Chaos Solitons & Fractals, IEEE/ACM Transactions on Audio Speech and Language Processing, JMIR mhealth and uhealth and Journal of Signal Processing Systems.

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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