Ching-Long Su

889 citations
16 papers · 604 · h-index 7

Impact in

Papers in

Ching-Long Su

16 papers receiving 559 citations

Peers

Ching-Long Su
Comparison fields: 5 of 39
  • Hardware and Architecture 467
  • Computer Networks and Communications 318
  • Electrical and Electronic Engineering 358
  • Signal Processing 32
  • Computational Theory and Mathematics 27
Replace Florian Kriebel with:
Florian Kriebel Germany
Matthew Moe United States
Mike Tien-Chien Lee United States
N.C. Paver United States
Florin Balasa United States
Karthik Gururaj United States
J.M. Mendı́as Spain
Alireza Kaviani United States
J. Eno United States
C.H. van Berkel Netherlands
Ching-Long Su relative to Florian Kriebel Germany Florian Kriebel's profile →
Citations per field
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Florian Kriebel · 1×
Citations per year

Countries citing papers authored by Ching-Long Su

Since Specialization
Citations

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

Fields of papers citing papers by Ching-Long Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching-Long Su. 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 Ching-Long Su. The network helps show where Ching-Long Su may publish in the future.

Co-authors

The 10 scholars most cited alongside Ching-Long Su, 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 Ching-Long Su Line = papers co-authored together Ching-Long Su links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1995225
2 1994204
3 200270
4 200245
5 201118
6 200611
7 199210
8 20026
9 20004
10 20023
11 20022
12 19942
13
Using CPSO for the engineering optimization problems
20101
14
Fuzzy ART for the document clustering by using evolutionary computation
20101
15 19941
16 20021

About Ching-Long Su

Ching-Long Su is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Signal Processing, Computational Theory and Mathematics and Computer Networks and Communications, having authored 16 papers that have together received 604 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (10 papers), Embedded Systems Design Techniques (5 papers), Low-power high-performance VLSI design (4 papers), Digital Filter Design and Implementation (4 papers), Numerical Methods and Algorithms (4 papers), Advanced Data Storage Technologies (3 papers), Video Coding and Compression Technologies (2 papers) and Metaheuristic Optimization Algorithms Research (2 papers). The work is most often cited by research in Hardware and Architecture (467 citations), Computer Networks and Communications (318 citations), Electrical and Electronic Engineering (358 citations), Signal Processing (32 citations) and Computational Theory and Mathematics (27 citations). Ching-Long Su has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Alvin M. Despain, Chi-Ying Tsui, S. M. Yang, Yin‐Tsung Hwang, Chein-Wei Jen, Jiun-In Guo, Yaow-Ming Chen, Yuan‐Sun Chu, Saisai Wu and Ing-Jer Huang. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Circuits and Systems for Video Technology, Design Automation Conference, ACM SIGARCH Computer Architecture News and WSEAS Transactions on Computers archive.

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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