国家自然科学基金优秀青年科学基金项目（海外）: 地理空间人地关联模式挖掘,  2025 – 2028, 主持

香港研究资助局博士后奖励计划: Spatiotemporal-Context-Aware Machine Learning of Real-Time Noise Exposure for Inferring Personal Psychological Reaction, 2022 – 2025, 主持

美国地理学家协会研究基金: Revealing the Mechanisms of Neighborhood Effect Averaging in Mobility-Based Environmental Exposures, 2024 – 2025, 主持

香港特别行政区政府智慧交通基金: Vehicle Detection and Vehicle-kilometrage Estimation Based on Remote Sensing Technologies, 2023 – 2025, 参与

香港研究资助局合作研究基金: Deploying Geospatial Big Data and Real-time Mobile Sensing to Assess the Health Impacts of Individual Exposure to Green/blue Spaces, Light at Night, Air Pollution, and Noise (GLAN), 2021 – 2025, 参与

香港研究资助局面上研究基金: Evaluating Individual Exposure to Noise and Air Pollution Using GPS and Mobile Sensors, 2021 – 2023, 参与

国家自然科学基金重点项目: 大数据环境下地理关联模式挖掘的理论与方法, 2018.01 – 2022.12, 参与

国家重点研发计划项目: 全空间信息系统与智能设施管理, 课题“多模态时空对象分析与可视化”, 子课题“多模态时空对象关联分析方法”, 2016.07 – 2021.06, 参与

国家重点研发计划项目: 地理大数据挖掘与时空模式发现, 课题“地理大数据统一表达、聚合与可视化”, 子课题“地理大数据时空认知”, 2017.07 – 2021.06, 参与

国家自然科学基金面上项目: 面向地图综合的多尺度空间聚类理论与方法, 2015.01 – 2018.12, 参与

地理空间关联模式挖掘的理论与方法. 邓敏, 蔡建南, 何占军, 陈袁芳 著. 北京: 科学出版社. 2023.

Jiannan Cai, Mei-Po Kwan. 2025. Revealing the complex dynamics of social disparities in personal transit availability considering human mobility and neighborhood effect averaging. Annals of the American Association of Geographers, 115(3), 620-639.

Jiannan Cai, Mei-Po Kwan. 2024. The universal neighborhood effect averaging in mobility-dependent environmental exposures. Environmental Science & Technology, 58(45), 20030-20039. (封面文章)

Jiannan Cai, Mei-Po Kwan. 2023. Understanding social inequality in individual perceived exposures to air pollution in residential and visited neighborhoods: A study using association rule mining. Annals of the American Association of Geographers, 113(10), 2392-2416.

Jiannan Cai, Mei-Po Kwan, Zihan Kan, Jianwei Huang. 2023. Perceiving noise in daily life: How real-time sound characteristics affect personal momentary noise annoyance in various activity microenvironments and times of day. Health & Place, 83, 103053.

Jiannan Cai, Mei-Po Kwan. 2022. Detecting spatial flow outliers in the presence of spatial autocorrelation. Computers, Environment and Urban Systems, 96, 101833.

Jiannan Cai, Mei-Po Kwan. 2022. Discovering co-location patterns in multivariate spatial flow data. International Journal of Geographical Information Science, 36(4), 720-748.

Jiannan Cai, Min Deng, Yiwen Guo, Yiqun Xie, Shashi Shekhar, 2021. Discovering regions of anomalous spatial co-locations. International Journal of Geographical Information Science, 35(5), 974-998.

Jiannan Cai, Yiqun Xie, Min Deng, Xun Tang, Yan Li, Shashi Shekhar, 2020. Significant spatial co-distribution pattern discovery. Computers, Environment and Urban Systems, 84, 101543.

Jiannan Cai, Min Deng, Qiliang Liu, Yuanfang Chen, Zhanjun He, Jianbo Tang, 2019. A statistical method for detecting spatiotemporal co-occurrence patterns. International Journal of Geographical Information Science, 33(5), 967-990.

Jiannan Cai, Min Deng, Qiliang Liu, Zhanjun He, Jianbo Tang, Xuexi Yang., 2019. Nonparametric significance test for discovery of network-constrained spatial co-location patterns. Geographical Analysis, 51(1), 3-22.

Jiannan Cai, Qiliang Liu, Min Deng, Jianbo Tang, Zhanjun He., 2018. Adaptive detection of statistically significant regional spatial co-location patterns. Computers, Environment and Urban Systems, 68, 53-63.

Min Deng, Jiannan Cai, Qiliang Liu, Zhanjun He, Jianbo Tang., 2017. Multi-level method for discovery of regional co-location patterns. International Journal of Geographical Information Science, 31(9), 1846-1870.