代表性著作：
[1] Jin Zeng, Yanchun Cao, Qili Gao, Chao Yang, Jiaming Zhang, Hanfa Xing*.  Identifying toponymic evolution patterns via knowledge graph-enhanced large language models: evidence from Chinese historical cities. Transactions in GIS, 2026, 30(2): e70229.
[2] Jin Zeng, Jiaming Zhang, Qili Gao, Yang Yue*. Modeling digitally augmented Huff model: evidence from otaku culture–driven spatial interactions. Environment and Planning B: Urban Analytics and City Science, 2026, 23998083261430815.
[3] Yuyi Cai, Xueyou Zhou, Jin Zeng*, Shan Hu, Wenkai Liu, Hanfa Xing*. A geographic knowledge graph approach to identifying cultural diffusion patterns: integrating cultural similarity and spatial proximity. Transactions in GIS, 2026, 30(1): e70191.
[4] 曾进, 城市社会空间的空间大数据量化表达与分析方法:以深圳市为例. 测绘学报, 2025, 54(12): 2292.
[5] Jin Zeng, Yang Yue, Qili Gao*. Measuring transit areas of influence via amenity change. Travel Behaviour and Society, 2025, 41: 101101.
[6] Jin Zeng, Yuyi Cai, Chao Yang, Yefei Liu, Wenkai Liu, Hanfa Xing. Revealing the Impact Patterns of Urban Morphology on Land Surface Temperature in the Guangdong-Hong Kong-Macao Greater Bay Area, Cities, 2025, 165: 10617
[7] 曾进, 鲁永刚, 乐阳*. 基于POI数据的场景细粒度制图.计算机科学, 2022,49(04):9-15.
[8] Jin Zeng, Yang Yue*, Qili Gao, Yanyan Gu, Chenglin Ma. Identifying localized amenities for gentrification using a machine learning-based framework. Applied Geography, 2022, 145: 102748.
[9] 曾进, 贾宁凤*.宁武县土地利用/覆被变化及相关政策研究.华北国土资源, 2016, (4): 77-79.

其他研究成果：
[1] 深圳市可持续发展评估报告（2016-2021）, 国家重点研发计划课题“大数据支撑的城市发展状态动态认知与评估技术” (2018YFB2100704)成果, 深圳市空间信息智能感知与服务重点实验室.
[2] 中国超大城市及港澳地区可持续发展报告（2021-2023年）, 国家重点研发计划课题“大数据支撑的城市发展状态动态认知与评估技术” (2018YFB2100704)成果, 深圳市空间信息智能感知与服务重点实验室.

曾进：
ORCID: 0009-0007-4620-0023
Google Scholar: https://scholar.google.com/citations?hl=en&user=m_n5KS0AAAAJ
Scopus: 59406252300

团队聚焦城市信息学前沿，利用地理空间大数据与GeoAI技术量化城市表现，尤其关注社会可持续发展。团队科研氛围浓厚，导师亲自指导，尊重学生研究兴趣，支持个人发展。欢迎具有人工智能、GIS背景，勤奋上进的同学加入。