OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Evolutionary swarm neural network game engine for Capture Go
Xindi Cai, Ganesh K. Venayagamoorthy, Donald C. Wunsch
Neural Networks (2009) Vol. 23, Iss. 2, pp. 295-305
Closed Access | Times Cited: 18

Showing 18 citing articles:

Learning neural network structures with ant colony algorithms
Khalid M. Salama, Ashraf M. Abdelbar
Swarm Intelligence (2015) Vol. 9, Iss. 4, pp. 229-265
Closed Access | Times Cited: 47

Exploring the brains of Baduk (Go) experts: gray matter morphometry, resting-state functional connectivity, and graph theoretical analysis
Wi Hoon Jung, Sung Nyun Kim, Tae Young Lee, et al.
Frontiers in Human Neuroscience (2013) Vol. 7
Open Access | Times Cited: 35

T2FS-Based Adaptive Linguistic Assessment System for Semantic Analysis and Human Performance Evaluation on Game of Go
Chang-Shing Lee, Mei‐Hui Wang, Meng-Jhen Wu, et al.
IEEE Transactions on Fuzzy Systems (2014) Vol. 23, Iss. 2, pp. 400-420
Closed Access | Times Cited: 29

Solar radiation prediction based on particle swarm optimization and evolutionary algorithm using recurrent neural networks
Nian Zhang, Pradeep K. Behera, Christopher B. Williams
2022 IEEE International Systems Conference (SysCon) (2013), pp. 280-286
Closed Access | Times Cited: 22

FML-based Dynamic Assessment Agent for Human-Machine Cooperative System on Game of Go
Chang-Shing Lee, Mei‐Hui Wang, Sheng-Chi Yang, et al.
International Journal of Uncertainty Fuzziness and Knowledge-Based Systems (2017) Vol. 25, Iss. 05, pp. 677-705
Open Access | Times Cited: 13

A Gradient-Guided ACO Algorithm for Neural Network Learning
Ashraf M. Abdelbar, Khalid M. Salama
IEEE Symposium Series on Computational Intelligence (2015) Vol. 19, pp. 1133-1140
Closed Access | Times Cited: 10

Effect of Look-Ahead Depth in Evolutionary Checkers
Belal Al‐Khateeb, Graham Kendall
Journal of Computer Science and Technology (2012) Vol. 27, Iss. 5, pp. 996-1006
Closed Access | Times Cited: 10

Training recurrent neural networks via dynamical trajectory-based optimization
Hamid Khodabandehlou, M. Sami Fadali
Neurocomputing (2019) Vol. 368, pp. 1-10
Open Access | Times Cited: 4

Role of Particle Swarm Optimization in Computer Games
Garima Singh, Kusum Deep
Advances in intelligent systems and computing (2014), pp. 259-277
Closed Access | Times Cited: 3

Adaptive assessment system for human performance evaluation on game of go
Chang-Shing Lee, Mei‐Hui Wang, Meng-Jhen Wu, et al.
(2013), pp. 37-42
Closed Access | Times Cited: 3

From T2 FS-Based MoGoTW System to DyNaDF for Human and Machine Co-learning on Go
Chang-Shing Lee, Mei‐Hui Wang, Sheng-Chi Yang, et al.
Studies in fuzziness and soft computing (2018), pp. 1-24
Closed Access | Times Cited: 2

Elicitation of Strategies in Four Variants of a Round-Robin Tournament: The Case of Goofspiel
Moshe Dror, Graham Kendall, Amnon Rapoport
IEEE Transactions on Computational Intelligence and AI in Games (2014) Vol. 8, Iss. 3, pp. 209-217
Closed Access | Times Cited: 1

Switch-side chain-chess
Azlan Iqbal
(2013), pp. 182-187
Closed Access | Times Cited: 1

Exploring Learning in Evolutionary Artificial Neural Networks
Even Bruvik Frøyen
67 (2011)
Closed Access

A New Chess Variant for Gaming AI
Azlan Iqbal
Lecture notes in computer science (2013), pp. 9-16
Open Access

Constrained versus unconstrained learning in generalized recurrent network for image processing
Lasitha Vidyaratne, Mahbubul Alam, J. Keith Anderson, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2017) Vol. 3, pp. 3310-3317
Closed Access

Page 1

Scroll to top