Neural Computing and Applications

237.1k citations
10.7k papers · · active since 1950

Impact in

Papers in

    • Face and Expression Recognition 551
    • Advanced Neural Network Applications 383
    • Neural Networks and Applications 1.1k
    • Metaheuristic Optimization Algorithms Research 585
    • Anomaly Detection Techniques and Applications 397
    • Machine Learning and ELM 367
    • Topic Modeling 345

Neural Computing and Applications

10.0k papers receiving 228.8k citations

Peers

Neural Computing and Applications
Comparison fields: 5 of 243
  • Artificial Intelligence 75.8k
  • Computer Vision and Pattern Recognition 38.8k
  • Management Science and Operations Research 19.7k
  • Control and Systems Engineering 30.9k
  • Signal Processing 12.8k
Replace Engineering Applications of Artificial Intelligence with:
Engineering Applications of Artificial Intelligence China
Soft Computing China
Knowledge-Based Systems China
Neural Networks China
Journal of the Royal Statistical Society Series B (Statistical Methodology) United States
Journal of Machine Learning Research United States
Applied Sciences China
Applied Intelligence China
Neural Computation United States
The Annals of Statistics 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 10.7k papers published in Neural Computing and Applications in the last decades have received a total of 237.1k indexed citations . Papers published in Neural Computing and Applications usually cover Computer Vision and Pattern Recognition (2.7k papers), Artificial Intelligence (4.2k papers), Signal Processing (790 papers), Control and Systems Engineering (1.4k papers) and Management Science and Operations Research (759 papers) specifically the topics of Neural Networks and Applications (1.1k papers), Metaheuristic Optimization Algorithms Research (585 papers), Face and Expression Recognition (551 papers), Anomaly Detection Techniques and Applications (397 papers), Advanced Neural Network Applications (383 papers), Machine Learning and ELM (367 papers), Neural Networks Stability and Synchronization (349 papers) and Topic Modeling (345 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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