Jun Kitazono

403 total citations
21 papers, 233 citations indexed

About

Jun Kitazono is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Jun Kitazono has authored 21 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 9 papers in Artificial Intelligence and 3 papers in Computer Networks and Communications. Recurrent topics in Jun Kitazono's work include Neural dynamics and brain function (8 papers), Functional Brain Connectivity Studies (7 papers) and Spam and Phishing Detection (3 papers). Jun Kitazono is often cited by papers focused on Neural dynamics and brain function (8 papers), Functional Brain Connectivity Studies (7 papers) and Spam and Phishing Detection (3 papers). Jun Kitazono collaborates with scholars based in Japan, Taiwan and Denmark. Jun Kitazono's co-authors include Seiichi Ozawa, Masato Okada, Masafumi Oizumi, Kenji Nagata, Takayuki Sato, Mark D. Lescroart, Manabu Tanifuji, Toshiaki Omori, Tao Ban and Masami K. Yamaguchi and has published in prestigious journals such as Journal of Neuroscience, Cerebral Cortex and Neural Networks.

In The Last Decade

Jun Kitazono

20 papers receiving 225 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jun Kitazono Japan 9 96 64 33 27 23 21 233
Waqar Hussain China 8 171 1.8× 34 0.5× 52 1.6× 19 0.7× 50 2.2× 9 293
Geetanjali Sharma India 9 155 1.6× 22 0.3× 11 0.3× 60 2.2× 7 0.3× 64 415
Muhammad Adeel Asghar Pakistan 10 130 1.4× 45 0.7× 6 0.2× 46 1.7× 6 0.3× 28 312
Corey Lammie Australia 12 142 1.5× 138 2.2× 30 0.9× 45 1.7× 5 0.2× 31 511
Muhammad Haseeb Aslam Pakistan 10 183 1.9× 88 1.4× 24 0.7× 48 1.8× 37 1.6× 25 417
Veeky Baths India 8 89 0.9× 83 1.3× 5 0.2× 3 0.1× 16 0.7× 27 267
Bedy Purnama Indonesia 10 53 0.6× 53 0.8× 6 0.2× 5 0.2× 21 0.9× 33 254
Tyler Lee United States 7 121 1.3× 56 0.9× 4 0.1× 5 0.2× 5 0.2× 14 273
Xiaotong Gu Australia 2 203 2.1× 72 1.1× 7 0.2× 5 0.2× 9 0.4× 3 306
Harshit Bhardwaj India 10 96 1.0× 77 1.2× 10 0.3× 3 0.1× 9 0.4× 27 297

Countries citing papers authored by Jun Kitazono

Since Specialization
Citations

This map shows the geographic impact of Jun Kitazono's research. 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 Jun Kitazono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Kitazono more than expected).

Fields of papers citing papers by Jun Kitazono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Kitazono. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jun Kitazono. The network helps show where Jun Kitazono may publish in the future.

Co-authorship network of co-authors of Jun Kitazono

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Kitazono. A scholar is included among the top collaborators of Jun Kitazono based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Kitazono. Jun Kitazono is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kitazono, Jun, et al.. (2025). Association of Bidirectional Network Cores in the Brain with Perceptual Awareness and Cognition. Journal of Neuroscience. 45(17). e0802242025–e0802242025. 1 indexed citations
2.
3.
4.
Kitazono, Jun, et al.. (2022). Bidirectionally connected cores in a mouse connectome: towards extracting the brain subnetworks essential for consciousness. Cerebral Cortex. 33(4). 1383–1402. 4 indexed citations
5.
Sasai, Shuntaro, et al.. (2022). Optimal Control Costs of Brain State Transitions in Linear Stochastic Systems. Journal of Neuroscience. 43(2). 270–281. 9 indexed citations
6.
Sasai, Shuntaro, et al.. (2021). Quantifying brain state transition cost via Schrödinger Bridge. Network Neuroscience. 6(1). 118–134. 3 indexed citations
7.
Kitazono, Jun, Ryota Kanai, & Masafumi Oizumi. (2020). Efficient search for informational cores in complex systems: Application to brain networks. Neural Networks. 132. 232–244. 13 indexed citations
8.
Ozawa, Seiichi, Jun Kitazono, Takenao Ohkawa, et al.. (2017). A hybrid machine learning approach to automatic plant phenotyping for smart agriculture. 1787–1793. 30 indexed citations
9.
Kitazono, Jun, et al.. (2017). t-Distributed stochastic neighbor embedding spectral clustering. 1628–1632. 19 indexed citations
10.
Murata, Naoki, Jun Kitazono, & Seiichi Ozawa. (2017). Multidimensional Unfolding Based on Stochastic Neighbor Relationship. 248–252. 1 indexed citations
11.
Kitazono, Jun, et al.. (2016). Improving the Accuracy of Sentiment Analysis of SNS Comments Using Transfer Learning and Its Application to Flaming Detection. IEEJ Transactions on Electronics Information and Systems. 136(3). 340–347. 2 indexed citations
12.
13.
Ozawa, Seiichi, et al.. (2015). Large-Scale Monitoring for Cyber Attacks by Using Cluster Information on Darknet Traffic Features. Procedia Computer Science. 53. 175–182. 8 indexed citations
14.
Nagata, Kenji, Jun Kitazono, Shinichi Nakajima, et al.. (2015). An Exhaustive Search and Stability of Sparse Estimation for Feature Selection Problem. 8(0). 25–32. 19 indexed citations
15.
Ichikawa, Hiroko, Jun Kitazono, Kenji Nagata, et al.. (2014). Novel method to classify hemodynamic response obtained using multi-channel fNIRS measurements into two groups: exploring the combinations of channels. Frontiers in Human Neuroscience. 8. 480–480. 35 indexed citations
16.
Ban, Tao, et al.. (2014). Detection of DDoS Backscatter Based on Traffic Features of Darknet TCP Packets. 39–43. 19 indexed citations
17.
18.
Sato, Takayuki, et al.. (2013). Object Representation in Inferior Temporal Cortex Is Organized Hierarchically in a Mosaic-Like Structure. Journal of Neuroscience. 33(42). 16642–16656. 44 indexed citations
19.
Kitazono, Jun, Toshiaki Omori, Toru Aonishi, & Masato Okada. (2012). Estimating Membrane Resistance over Dendrite Using Markov Random Field. 5(0). 186–191. 3 indexed citations
20.
Kitazono, Jun, Toshiaki Omori, & Masato Okada. (2009). Neural Network Model with Discrete and Continuous Information Representation. Journal of the Physical Society of Japan. 78(11). 114801–114801. 2 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Waqar Hussain Breakdown of academic impact, for papers by Geetanjali Sharma Breakdown of academic impact, for papers by Muhammad Adeel Asghar Breakdown of academic impact, for papers by Corey Lammie Breakdown of academic impact, for papers by Muhammad Haseeb Aslam Breakdown of academic impact, for papers by Veeky Baths Breakdown of academic impact, for papers by Bedy Purnama Breakdown of academic impact, for papers by Tyler Lee Breakdown of academic impact, for papers by Xiaotong Gu Breakdown of academic impact, for papers by Harshit Bhardwaj
Rankless by CCL
2026