Refereed International Journal

• Dong, Ran; Chang, Qiong; Er, Meng; Zhong, Junpei; Ikuno, Soichiro, Motion Capture-based Robotic Imitation: A Keyframeless Implementation Method using Multivariate Empirical Mode Decomposition, IEEE/ASME Transactions on Mechatronics, 1-12,（2024）
• Hou, Z., Cai, D., & Dong, R. (2024). Structural Color in Amber-Entombed Wasp: A Detailed Study Using NS-FDTD Simulations. IEEE Access, 12, 57163 – 57171.
• Dong, R., & Ikuno, S. (2023). Biomechanical Analysis of Golf Swing Motion Using Hilbert–Huang Transform. Sensors, 23(15), 6698.
• Ni, S., Dong, R., & Ueichi, H. (2023). The influence of online multiplayer games on social capital and interdependent well-being in Japan. Entertainment Computing, 47, 100587.
• Huang, X., Dong, R., Wu, B., Sato, K., Ikuno, S., Wang, Z., & Nishimura, S. (2023). A real-time recognition gait framework for personal authentication via image-based neural network: accelerated by feature reduction in time and frequency domains. Journal of Real-Time Image Processing, 20(5), 92.
• Wu, B., Wu, Y., Dong, R., Sato, K., Ikuno, S., Nishimura, S., & Jin, Q. (2023). Behavioral analysis of mowing workers based on Hilbert–Huang transform: an auxiliary movement analysis of manual mowing on the slopes of terraced rice fields. Agriculture, 13(2), 489.
• Wu, B., Zhu, Y., Dong, R., Sato, K., Ikuno, S., Nishimura, S., & Jin, Q. (2023). Pre-braking behaviors analysis based on Hilbert–Huang transform. CCF Transactions on Pervasive Computing and Interaction, 5(2), 157-182.
• Dong, R., Cai, D., Hayano, S., Nakagawa, S., & Ikuno, S. (2022). Investigating the Effect of Jo-Ha-Kyū on Music Tempos and Kinematics across Cultures: Animation Design for 3D Characters Using Japanese Bunraku Theater. Leonardo, 55(5), 468-474.
• R. Dong, Y. Fujita, H. Nakamura and S. Ikuno, Electromagnetic Penetration and Reflection Analysis in Fractal Structures using Three-dimensional Empirical Mode Decomposition. in IEEE Transactions on Magnetics, 58, 9 (2022). 1-4.
• Dong, R.., Ni, S., & Ikuno, S. Nonlinear frequency analysis of COVID-19 spread in Tokyo using empirical mode decomposition. Scientific Reports 12.1 (2022): 1-12.
• Dong, R.., Shigeta, D., Fujita, Y., & Ikuno, S. Photonic Crystal Frequency Demultiplexer Design for Electromagnetic Wave using FDTD and MEMD. Journal of Advanced Simulation in Science and Engineering 9.1 (2022): 65-77.
• Dong, R., Chang, Q. & Ikuno, S. A deep learning framework for realistic robot motion generation. Neural Comput & Applic, 35, 23343-23356, (2021).
• Hayano, S., Dong, R., Miyata, Y., & Kasuga, S. The study of differences by region and type of gambling on the degree of gambling addiction in Japan. Scientific reports 11.1 (2021): 1-9.
• Dong, R., Cai, D., Ikuno, S.
  Motion Capture Data Analysis in the Instantaneous Frequency-Domain Using Hilbert-Huang Transform. Sensors 2020, 20, 6534.
• Ran Dong, Yang Chen, Dongsheng Cai, Shinobu Nakagawa, Tomonari Higaki & Nobuyoshi Asai (2020), Robot Motion Design Using Bunraku Emotional Expressions – Focusing on Jo-ha-kyū in Sounds and Movements. Advanced Robotics, 34:5, 299-312.

Refereed International Conference

• Dong, R., Ikuno, S., & Yang, X. (2023). Learning multivariate empirical mode decomposition for spectral motion editing. In SIGGRAPH Asia 2023 Technical Communications (pp. 1-4).
• Dong, R., Ni, S., Wu, B., Hayano, S., Cai, D., & Ikuno, S. (2022, September). Analyzing Jo-Ha-Kyu Mechanism in Japanese Traditional Performing Art Ningyo Joruri. In 2022 IEEE DASC/PiCom/CBDCom/CyberSciTech (pp. 1-5). IEEE.
• Dong, R., Lin, Y., Chang, Q., Zhong, J., Cai, D., & Ikuno, S. Motion Feature Extraction and Stylization for Character Animation using Hilbert-Huang Transform. Proceedings of the 2021 ACM International Conference on Intelligent Computing and its Emerging Applications. 2021.
• Dong, R., He, Y., Cai, D., Yamaguchi, J., Kondo, H., Nakagawa, S., Ikuno, S., & Hayano, S. Interacting with Humanoid Robots: Affective Robot Motion Design with 3D Squash and Stretch Using Japanese Jo-ha-kyu Principles in Bunraku. In Proceedings of SIGGRAPH ’21 Talks. ACM, New York, NY, USA, 2 pages.
• Hou, Z., Cai, D., & Dong, R. Photonic Rendering for Hair Cuticles using High Accuracy NS-FDTD method. In Proceedings of SIGGRAPH ’21 Talks. ACM, New York, NY, USA, 2 pages.
• Yang Chen, Ran Dong, Dongsheng Cai, Shinobu Nakagawa, Tomonari Higaki, and Nobuyoshi Asai. 2019. The Beauty of Breaking Rhythms: Affective Robot Motion Design Using Jo-Ha-Kyu of Bunraku Puppet. In Proceedings of SIGGRAPH ’19 Talks. ACM, New York, NY, USA, 2 pages.
• Ran Dong, Dongsheng Cai, and Nobuyoshi Asai. 2017. Dance Motion Analysis and Editing using Hilbert-Huang Transform. In Proceedings of SIGGRAPH ’17 Talks, Los Angeles, CA, USA, July 30 – August 03, 2017, 2 pages.
• Ran Dong, Dongsheng Cai, and Nobuyoshi Asai. 2017. Nonlinear Dance Motion Analysis and Motion Editing using Hilbert-Huang Transform. In Proceedings of CGI ’17, Yokohama, Japan, June 27-30, 2017, 6 pages.

Refereed Japanese Domestic Journal

• 董然, 蔡東生, ヒルベルト－ファン変換を用いたダンスモーション解析, 電子情報通信学会和文論文誌(D) Vol.J102-D,No.12,pp.843-853,Dec. 2019.
• 水上 直樹, 長峯 望, 中曽根 隆太, 畠山 直, 羽山 和紀, 蔡 東生, 董 然, 運転士の支援に向けた眠気検知手法の開発 (特集 人間科学) ,鉄道総研報告 = RTRI report : 鉄道総合技術論文誌   33(1) 11-16   2019年1月