Neural Computing and Applications

216.8k citations
10.5k papers · · active since 1950

Impact in

Papers in

    • Neural Networks and Applications 1.1k
    • Metaheuristic Optimization Algorithms Research 582
    • Anomaly Detection Techniques and Applications 390
    • Machine Learning and ELM 362
    • Topic Modeling 334
    • Face and Expression Recognition 548
    • Advanced Neural Network Applications 372

Neural Computing and Applications

9.8k papers receiving 208.2k citations

Peers

Neural Computing and Applications
Comparison fields: 5 of 244
  • Artificial Intelligence 69.4k
  • Computer Vision and Pattern Recognition 35.7k
  • Management Science and Operations Research 18.3k
  • Control and Systems Engineering 28.9k
  • Signal Processing 11.6k
Replace Engineering Applications of Artificial Intelligence with:
Engineering Applications of Artificial Intelligence China
Journal of the Royal Statistical Society Series B (Statistical Methodology) United States
Soft Computing China
Neural Networks China
Applied Sciences China
The Annals of Statistics United States
Knowledge-Based Systems China
Machine Learning United States
Neural Computation United States
Journal of Machine Learning Research United States
Neural Computing and Applications relative to Engineering Applications of Artificial Intelligence China Engineering Applications of Artificial Intelligence's profile →
Citations per field
00.5×1.5×1.8×
Engineering Applications of Artificial Intelligence · 1×
Citations per year

Countries where authors publish in Neural Computing and Applications

Since Specialization
Citations

This map shows the geographic impact of research published in Neural Computing and Applications. 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 papers published in Neural Computing and Applications with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neural Computing and Applications more than expected).

Fields of papers published in Neural Computing and Applications

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Neural Computing and Applications. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Neural Computing and Applications.

About Neural Computing and Applications

The 10.5k papers published in Neural Computing and Applications in the last decades have received a total of 216.8k indexed citations . Papers published in Neural Computing and Applications usually cover Artificial Intelligence (4.2k papers), Computer Vision and Pattern Recognition (2.6k papers), Signal Processing (776 papers), Control and Systems Engineering (1.4k papers) and Management Science and Operations Research (754 papers) specifically the topics of Neural Networks and Applications (1.1k papers), Metaheuristic Optimization Algorithms Research (582 papers), Face and Expression Recognition (548 papers), Anomaly Detection Techniques and Applications (390 papers), Advanced Neural Network Applications (372 papers), Machine Learning and ELM (362 papers), Neural Networks Stability and Synchronization (347 papers) and Topic Modeling (334 papers). The most active scholars publishing in Neural Computing and Applications are Seyedali Mirjalili, Seyed Mohammad Mirjalili, Xin‐She Yang, Laith Abualigah, Suash Deb, Abdolreza Hatamlou, Shiliang Sun, Amir H. Gandomi, Panagiotis G. Asteris and Ahmad Taher Azar.

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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