The DOI matches its Crossref record; 34 of the 35 references it cites were found in a registry or an index.
How blockchain improves the supply chain: case study alimentary supply chain
Open accessAbstract
Current supply chain is a linear economy model that directly or indirectly fulfills supply needs. But this model has some disadvantages, such as the relationships between the members of the supply chain or the lack of information for the consumer about the origin of the products. In this paper we propose a new model of supply chain via blockchain. This new model enables the concept of circular economy and eliminates many of the disadvantages of the current supply chain. In order to coordinate all the transactions that take place in the supply chain a multi-agent system is created for this paper.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“some of the articles of the first cluster (i.e., four out of 10) are strongly focused on the use of blockchain technology, with the aim of ensuring product traceability in food chains [45,75,77,82].”
From A Review of Blockchain-Based Systems in Transportation (2019) · cites this paper as [45]
In the citing paper
“The remaining papers of cluster C 1 present platforms that are proposed only at a concept level [45,75,77,83].”
From A Review of Blockchain-Based Systems in Transportation (2019) · cites this paper as [45]
In the citing paper
“Some of them propose new platforms just at a concept level [45,51,52,75,77,83,84,88,89,91], some of them present proofs of their concepts [76,79,81], and only three of them present a real implementation based on real blockchains: [78,80,82].”
From A Review of Blockchain-Based Systems in Transportation (2019) · cites this paper as [45]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
2 retracted
Vara, R. C., González‐Briones, A., Prieto, J., & Corchado, J. M. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-94120-2_49 · Cited by 71
RetractedRETRACTED CHAPTER: How Blockchain Could Improve Fraud Detection in Power Distribution Grid
Vara, R. C., Prieto, J., & Corchado, J. M. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-94120-2_7 · Cited by 35
RetractedBitcoin: A Peer-to-Peer Electronic Cash SystemPreprint
Squarepants, S. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.3977007 · Cited by 11,146
Intelligent agents: theory and practice
Wooldridge, M., & Jennings, N. R. (1995) · The Knowledge Engineering Review · doi:10.1017/s0269888900008122 · Cited by 6,810
Aitzhan, N. Z., & Svetinovic, D. (2018) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2016.2616861 · Cited by 1,297
Mastering Bitcoin: Unlocking Digital Crypto-Currencies
Antonopoulos, A. M. (2014) · Cited by 865
Towards blockchain-based intelligent transportation systems
Yuan, Y., & Wang, F.-Y. (2016) · 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc.2016.7795984 · Cited by 671
A polarity analysis framework for Twitter messages
Lima, A. C. E. S., de Castro, L. N., & Corchado, J. M. (2015) · Applied Mathematics and Computation · doi:10.1016/j.amc.2015.08.059 · Cited by 144
Intelligent business processes composition based on multi-agent systems
Coria, J. A. G., Castellanos-Garzón, J. A., & Corchado, J. M. (2013) · Expert Systems with Applications · doi:10.1016/j.eswa.2013.08.003 · Cited by 110
Hybrid multi-agent architecture as a real-time problem-solving model
Carrascosa, C., Bajo, J., Julián, V., Corchado, J. M., & Botti, V. J. (2006) · Expert Systems with Applications · doi:10.1016/j.eswa.2006.08.031 · Cited by 109
Algorithm design for parallel implementation of the SMC-PHD filter
Li, T., Sun, S., Bolić, M., & Corchado, J. M. (2015) · Signal Processing · doi:10.1016/j.sigpro.2015.07.013 · Cited by 106
Tapia, D. I., Fraile, J. A., Rodrı́guez, S., Alonso, R. S., & Corchado, J. M. (2011) · Information Sciences · doi:10.1016/j.ins.2011.05.002 · Cited by 99
Increased performance and better patient attendance in an hospital with the use of smart agendas
Costa, Â., Nováis, P., Corchado, J. M., & Neves, J. (2011) · Logic Journal of IGPL · doi:10.1093/jigpal/jzr021 · Cited by 82
A particle dyeing approach for track continuity for the SMC-PHD filter
Li, T., Sun, S., Corchado, J. M., & Siyau, M. F. (2014) · Cited by 82
A multi-agent system for the classification of gender and age from images
González‐Briones, A., González, G. V., Paz, J. F. D., & Corchado, J. M. (2018) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2018.01.012 · Cited by 55
Random finite set-based Bayesian filters using magnitude-adaptive target birth intensity
Li, T., Sun, S., Corchado, J. M., & Siyau, M. F. (2014) · Cited by 53
Agents and Computer Vision for Processing Stereoscopic Images
Rodrı́guez, S., la Prieta, F. D., Tapia, D. I., & Corchado, J. M. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-13803-4_12 · Cited by 50
A Hash Based Image Matching Algorithm for Social Networks
Chamoso, P., Rivas, A., Martín-Limorti, J. J., & Rodrı́guez, S. (2017) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-61578-3_18 · Cited by 50
Neuro-symbolic System for Business Internal Control
Corchado, J. M., Borrajo, L., Pellicer, M. A., & Yáñez, J. C. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-30185-1_1 · Cited by 47
CONNECT: CONtextual NamE disCovery for blockchain-based services in the IoT
Daza, V., Pietro, R. D., Klimek, I., & Signorini, M. (2017) · International Conference on Communications · doi:10.1109/icc.2017.7996641 · Cited by 47
Bladder Carcinoma Data with Clinical Risk Factors and Molecular Markers: A Cluster Analysis
González, E. R., de Castro, L. N., Sierra, J. M., Casas, M. L. M. D. L., Vera, V., Ferrari, D. G., & Corchado, J. M. (2015) · BioMed Research International · doi:10.1155/2015/168682 · Cited by 46
A Multi-Agent Extension of a Hierarchical Task Network Planning Formalism
Cardoso, R. C., & Bordini, R. H. (2017) · ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL · doi:10.14201/adcaij201762517 · Cited by 46
Sustainable Interdependent Networks
Amini, M. H., Boroojeni, K. G., Iyengar, S. S., Pardalos, P. M., Blaabjerg, F., & Madni, A. M. (2018) · Studies in systems, decision and control · doi:10.1007/978-3-319-74412-4 · Cited by 44
A Multi-agent System Approach to Load-Balancing and Resource Allocation for Distributed Computing
Banerjee, S., & Hecker, J. P. (2016) · Springer proceedings in complexity · doi:10.1007/978-3-319-45901-1_4 · Cited by 41
Decentralized Coalition Formation with Agent-based Combinatorial Heuristics
Bremer, J., & Lehnhoff, S. (2017) · ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL · doi:10.14201/adcaij2017632944 · Cited by 41
Đurić, B. O. (2017) · ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL · doi:10.14201/adcaij2017631727 · Cited by 33
Enabling Communications in Heterogeneous Multi-Agent Systems: Electricity Markets Ontology
Santos, G., Pinto, T. D. O., Vale, Z., Praça, I., & Morais, H. G. V. (2016) · ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL · doi:10.14201/adcaij2016522542 · Cited by 32
Organization-based Multi-Agent structure of the Smart Home Electricity System
Gazafroudi, A. S., Pinto, T. D. O., Prieto‐Castrillo, F., Prieto, J., Corchado, J. M., Jozi, A., Vale, Z., & Venayagamoorthy, G. K. (2017) · IEEE Congress on Evolutionary Computation (CEC) · doi:10.1109/cec.2017.7969458 · Cited by 32
Blockchain for Democratic Voting: How Blockchain Could Cast off Voter Fraud
Vara, R. C., & Corchado, J. M. (2018) · Oriental journal of computer science and technology · doi:10.13005/ojcst11.01.01 · Cited by 32
Linguistic Models at the Crossroads of Agents, Learning and Formal Languages
Becerra-Bonache, L., & Jiménez‐López, M. D. (2014) · ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL · doi:10.14201/adcaij2014346787 · Cited by 23
Decentralized Control of DR Using a Multi-agent Method
Najafi, S., Talari, S., Gazafroudi, A. S., Shafie‐khah, M., Corchado, J. M., & Catalào, J. P. S. (2018) · Studies in systems, decision and control · doi:10.1007/978-3-319-74412-4_13 · Cited by 20
Obtaining Relevant Genes by Analysis of Expression Arrays with a Multi-agent System
González‐Briones, A., Ramos, J., Paz, J. F. D., & Corchado, J. M. (2015) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-19776-0_15 · Cited by 17
Multi-agent system for Knowledge-based recommendation of Learning Objects
Marín, P. A. R., Duque, N., & Ovalle, D. A. (2015) · ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL · doi:10.14201/adcaij2015418089 · Cited by 16
Obtaining Relevant Genes by Analysis of Expression Arrays with a Multi-Agent System
González‐Briones, A., Ramos, J., Paz, J. F. D., & Corchado, J. M. (2015) · ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL · doi:10.14201/adcaij2014333542 · Cited by 8
Flagged first, then by citations
1 of the 35 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Blockchain for the future of sustainable supply chain management in Industry 4.0
Esmaeilian, B., Sarkis, J., Lewis, K. E., & Behdad, S. (2020) · Resources Conservation and Recycling · doi:10.1016/j.resconrec.2020.105064 · Cited by 938
Blockchain smart contracts: Applications, challenges, and future trends
Khan, S. N., Loukil, F., Ghedira-Guegan, C., Benkhelifa, E., & Bani-Hani, A. I. (2021) · Peer-to-Peer Networking and Applications · doi:10.1007/s12083-021-01127-0 · Cited by 971
Blockchain technology for bridging trust, traceability and transparency in circular supply chain
Centobelli, P., Cerchione, R., del Vecchio, P., Oropallo, E., & Secundo, G. (2021) · Information Manager (The) · doi:10.1016/j.im.2021.103508 · Cited by 729
A supply chain transparency and sustainability technology appraisal model for blockchain technology
Bai, C., & Sarkis, J. (2019) · International Journal of Production Research · doi:10.1080/00207543.2019.1708989 · Cited by 598
Friha, O., Ferrag, M. A., Shu, L., Maglaras, L. A., & Wang, X. (2021) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2021.1003925 · Cited by 639
Metadata
- Authors
- Casado-Vara, R., Prieto, J., la Prieta, F. D., & Corchado, J. M.
- Affiliations
- Universidad de Salamanca (ES)
- Corresponding author
- Prieto, Javier
- Corchado, Juan M.
- Venue
- Procedia Computer Science
- Publisher
- Elsevier BV
- Published
- 2018
- Volume
- 134
- Pages
- 393-398
- ISSN
- 1877-0509 (ISSN-L)
- OpenAlex
- W2887912929
- Cited by
- 450
- References
- 35
- Citations by year
- 2026: 16 · 2025: 17 · 2024: 43 · 2023: 59 · 2022: 78 · 2021: 97 · 2020: 84 · 2019: 54 · 2018: 2
- FWCI
- 46.50
- Type
- conference paper
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Procedia Computer Science (publishedVersion, cc-by-nc-nd)
- Repositorio Institucional de la Universidad de Burgos (University of Burgos) (submittedVersion, cc-by-nc-nd)
- Funders
- European Regional Development Fund (2014-2020’, 0123 IOTEC 3 E)
- Interreg (2014-2020)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Life Sciences › Agricultural and Biological Sciences › Food Science › Food Supply Chain Traceability
- Social Sciences › Business, Management and Accounting › Strategy and Management › Sustainable Supply Chain Management
- Keywords
- blockchain, supply chain management, food supply chain, circular economy, multi-agent systems, supply chain coordination, linear economy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review