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Journal of Information Technology & Software Engineering

Journal of Information Technology & Software Engineering
Open Access

ISSN: 2165- 7866

Journal of Information Technology & Software Engineering : Citations & Metrics Report

Articles published in Journal of Information Technology & Software Engineering have been cited by esteemed scholars and scientists all around the world. Journal of Information Technology & Software Engineering has got h-index 7, which means every article in Journal of Information Technology & Software Engineering has got 7 average citations.

Following are the list of articles that have cited the articles published in Journal of Information Technology & Software Engineering.

  2021 2020 2019 2018 2017

Year wise published articles

66 13 13 26 24

Year wise citations received

47 53 32 21 6
Journal total citations count 169
Journal impact factor 1.10
Journal 5 years impact factor 2.27
Journal cite score 2.00
Journal h-index 7
Journal h-index since 2017 7
Important citations

Catania lj, nicolitz e. artificial intelligence and its applications in vision and eye care. adv in ophthalmol optom.2018;3(1):21-38.

ErtaÅŸ g. neural network based classification of melanocytic lesions in dermoscopy: role of input vector encoding. electrica. 2018;18(2):242-8.

Hegde rm, kenchannavar hh. a survey on predicting resident intentions using contextual modalities in smart home. int j adv pervasive and ubiquitous comp.2019;11(4):44-59.

Al-akam r, paulus d. comparison of different machine learning models on feature extraction for human activity recognition from rgb-depth datasets.int conf mach vision.2019;11041:1104128.

Akila k, chitrakala s. highly refined human action recognition model to handle intraclass variability & interclass similarity. multimedia tools and applications.2019;1-9.

Nourani h, shihab e, sarbishei o. the impact of data reduction on wearable-based human activity recognition.ieee int conf pervasive comput commun workshops.2019;89-94.

Badawi aa, al-kabbany a, shaban h. multimodal human activity recognition from wearable inertial sensors using machine learning.ieee-embs conf biomed eng sci.2018;402-407.

Loreti d, chesani f, mello p, roffia l, antoniazzi f, cinotti ts, paolini g, masotti d, costanzo a. complex reactive event processing for assisted living: the habitat project case study. expert systems with applications.2019;126:200-17.

Manzi a, moschetti a, limosani r, fiorini l, cavallo f. enhancing activity recognition of self-localized robot through depth camera and wearable sensors. ieee sen j.2018;18(22):9324-31.

Al-akam r, al-darraji s, paulus d. human action recognition from rgbd videos based on retina model and local binary pattern features.

Anzer a, tabaza ha, ali j. predicting academic performance of students in uae using data mining techniques. int conf adv comp commun eng(icacce).2018;179-183.

Tanuar e, heryadi y, abbas bs, gaol fl. using machine learning techniques to earlier predict student's performance. indonesian association for pattern recognition int conf(inapr).2018;85-89.

Mahboob k, ali sa, khan du, ali f. a comparative study of engineering students pedagogical progress. int j adv comp sci app.2018;9(6):323-31.

Francis bk, babu ss. predicting academic performance of students using a hybrid data mining approach. j medi sys.2019;43(6):162.

Cyril a, mulangi rh, george v. data processing methodology for big data in public transportation. int j pure appl math.2018;120(6):649-60.

Nasr m. self-protected mobile agent paradigm for ddos threats using block chain technology.int j adv network appl.2019;10(6):4070-5.

Rusli r, hashim h, yunus mm, zakaria ny, norman h. leveraging the use of social media in teaching writing: a qualitative investigation among esl pre-service teachers. int j interac mobile tech(ijim).2019;13(11):85-94.

Habibi a, mukminin a, pratama r, harja h. predicting factors affecting intention to use web 2.0 in learning: evidence from science education. j baltic sci edu.2019;18(4):595-606.

Hassan h, halim na, ahmad r. the reasons narcissists portrayed themselves on facebook. inproceeding: 2nd int conf soc sci, human tech(icsht 2018).2018;9.

Singh k, kalyan p. attitude of undergraduate students towards use of social networking sites in relation to emotional maturity. indian j public health res develop.20191;10(6).

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