Journal of Data Acquisition and Processing (ISSN 1004-9037; CN 32-1367/TN), founded in 1986, is an academic journal supervised by the China Association for Science and Technology, co-sponsored by the Chinese Institute of Electronics and Nanjing University of Aeronautics and Astronautics. The journal is currently published bimonthly and is edited and published by the Editorial Office of Data Acquisition and Processing.

Aim and Scope

Journal of  Data Acquisition and Processing is data-centric, focusing on cutting-edge theories, methods, and applications related to the "Perception-Transmission-Storage-Computation-Control" data chain. This includes the intelligent acquisition, intelligent transmission and recognition, intelligent analysis, and computation of communication signals, radar signals, image and video data, multispectral data, text data, speech and optoelectronic hybrid data, bioinformatics, and other big data information. The scope includes, but is not limited to:

(1) Full-domain perception: Spectrum sensing, radar/sonar detection and perception, visual/image perception and recognition, multispectral perception, acoustic/speech perception and recognition, bio-perception, etc.

(2) Data transmission: 5G/6G networks, integrated space-air-ground networks, satellite constellation communication networks, space information networks, novel short-range wireless communication, novel data links, etc.

(3) Data storage: Compression encoding/decoding, distributed storage, edge caching, etc.

(4) Intelligent computation: Fundamental algorithms for big data and applications, artificial intelligence algorithms and applications, communication signal processing, radar signal processing, bioinformatics processing, text processing, multispectral signal processing, etc.

Abstracting and Indexing

Journal of  Data Acquisition and Processing is recognized as a Chinese Core Journal (in the category of Electronic Technology and Communication Technology) and a source journal for the Chinese Statistical Source of Science and Technology Papers. It is indexed and abstracted by several authoritative databases, including the Chinese Science Citation Database (CSCD) Extended Library, China National Knowledge Infrastructure（CNKI），China Science and Technology Journal Database (VIP)，Chinese Core Journal Database (Wanfang Data)，Chinese Academic Journal Comprehensive Evaluation Database(CAJCED)，Scopus (Netherlands), EBSCO，Directory of Open Access Journals（DOAJ）, and INSPEC (UK).