• The citations of the paper entitled "Deep Learning Approach for Intelligent Intrusion Detection System", authored by Vinayakumar R., Alazab M., Soman K.P., Poornachandran P., Al-Nemrat A., Venkatraman S., published in IEEE Access, vol. 7, 2019 has reached 1241.
  

• The citations of the paper entitled "Blockchain for Industry 4.0: A Comprehensive Review", authored by, Umesh Bodkhe; Sudeep Tanwar; Karan Parek​h; Pimal Khanpara; Sudhanshu Tyagi; Neeraj Kumar,​ Mamoun Alazab, and published in IEEE Access, vol. 8, 2020, has exceeded 500.​

  
  
• ​​The citations of the paper entitled "Evaluation of machine learning algorithms for intrusion detection system",  published in the proceedings of the 2017 IEEE 15th International Symposium on Intelligent Systems and Informatics (SISY) and authored by Mohammad Almseidin, Maen Alzubi, Szilveszter Kovacs, Mouhammd Alkasassbeh has exceeded 200 citations.​​​​​
• The citations of the paper entitled "An efficient reinforcement learning-based Botnet detection approach​",  published in the Journal of Network and Computer Applications​​ in 2020 and authored by ,Mohammad Alauthman, Nauman Aslam, Mouhammd Al-kasassbeh, Suleman Khan, Ahmad Al-Qerem, Kim-Kwang Raymond Choo has exceeded 100 citations.​​​​​
• ​The citations of the paper entitled "Machine learning approaches to IoT security: A systematic literature review",  published in Internet of Things in 2021 and authored by Rasheed Ahmad and Izzat Alsmadi, has exceeded 100 citations.

• ​​The citations of the paper entitled "Security of Software Defined Networks: A survey​​",  published in Computers & Security​​ in 2015 and authored by Izzat Alsmadi and Dianxiang Xu has exceeded 100 citations.

• The citations of the paper entitled "​​Deep reinforcement and transfer learning for abstractive text summarization: A review​",  published in Computer Speech & Language​​ in 2022 and authored by Ayham Alomari, Norisma Idris, Aznul Qalid Md Sabri, Izzat Alsmadi has exceeded 100 citations. 

Publicly Accessible Tools published by PAACNet members:

• ​​Accompanying Dr. Sher​enaz Al-Haj Baddar recent publication entitled ​"Efficient analysis of overdispersed data using an accurate computation of the Dirichlet multinomial distribution​", in the top-tier journal IEEE Transactions on Pattern Analysis and Machine Learning (TPAMI), the  code that compares Python implementations of the Dirichlet log-likelihood function using both the Languasco-Migliardi  and the Yu-Shaw techniques.
  

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