| Interpretable machine learning models for crime prediction X Zhang, L Liu, M Lan, G Song, L Xiao, J Chen Computers, Environment and Urban Systems 94, 101789, 2022 | 60 | 2022 |
| Using Google Street View imagery to capture micro built environment characteristics in drug places, compared with street robbery H Zhou, L Liu, M Lan, W Zhu, G Song, F Jing, Y Zhong, Z Su, X Gu Computers, Environment and Urban Systems 88, 101631, 2021 | 49 | 2021 |
| A spatio-temporal method for crime prediction using historical crime data and transitional zones identified from nightlight imagery B Yang, L Liu, M Lan, Z Wang, H Zhou, H Yu International Journal of Geographical Information Science 34 (9), 1740-1764, 2020 | 42 | 2020 |
| Evaluation of historic and operational satellite radar altimetry missions for constructing consistent long-term lake water level records S Shu, H Liu, RA Beck, F Frappart, J Korhonen, M Lan, M Xu, B Yang, ... Hydrology and Earth System Sciences Discussions 2020, 1-40, 2020 | 38 | 2020 |
| Assessing the effects of bus stop relocation on street robbery L Liu, M Lan, JE Eck, EL Kang Computers, Environment and Urban Systems 80, 101455, 2020 | 35 | 2020 |
| Assessing the impact of nightlight gradients on street robbery and burglary in Cincinnati of Ohio State, USA H Zhou, L Liu, M Lan, B Yang, Z Wang Remote Sensing 11 (17), 1958, 2019 | 28 | 2019 |
| The spillover effect of geotagged tweets as a measure of ambient population for theft crime M Lan, L Liu, A Hernandez, W Liu, H Zhou, Z Wang Sustainability 11 (23), 6748, 2019 | 27 | 2019 |
| A spatial analytical approach to assess the impact of a casino on crime: An example of JACK Casino in downtown Cincinnati M Lan, L Liu, JE Eck Cities 111, 103003, 2021 | 26 | 2021 |
| Linking Luojia 1-01 nightlight imagery to urban crime L Liu, H Zhou, M Lan, Z Wang Applied geography 125, 102267, 2020 | 23 | 2020 |
| Burglaries and entry controls in gated communities Z Wang, L Liu, C Haberman, M Lan, B Yang, H Zhou Urban Studies 58 (14), 2920-2932, 2021 | 20 | 2021 |
| Crime prediction with historical crime and movement data of potential offenders using a spatio-temporal cokriging method H Yu, L Liu, B Yang, M Lan ISPRS international journal of geo-information 9 (12), 732, 2020 | 20 | 2020 |
| “Know your epidemic, know your response”: Epidemiological assessment of the substance use disorder crisis in the United States A Hernández, M Lan, NJ MacKinnon, AJ Branscum, DF Cuadros PloS one 16 (5), e0251502, 2021 | 19 | 2021 |
| Discerning the effects of rural to urban migrants on burglaries in ZG City with structural equation modeling F Du, L Liu, C Jiang, D Long, M Lan Sustainability 11 (3), 561, 2019 | 17 | 2019 |
| Crime geographical displacement: Testing its potential contribution to crime prediction Z Wang, L Liu, H Zhou, M Lan ISPRS International Journal of Geo-Information 8 (9), 383, 2019 | 15 | 2019 |
| Agglomerative effects of crime attractors and generators on street robbery? An assessment by Luojia 1-01 satellite nightlight L Liu, H Zhou, M Lan Annals of the American Association of Geographers 112 (2), 350-367, 2022 | 13 | 2022 |
| How is the confidentiality of crime locations affected by parameters in kernel density estimation? Z Wang, L Liu, H Zhou, M Lan ISPRS International Journal of Geo-Information 8 (12), 544, 2019 | 9 | 2019 |
| Examining the impact of bus stop location change on robbery M Lan University of Cincinnati, 2016 | 8 | 2016 |
| The impact of civil registration-based demographic heterogeneity on community thefts C Xu, Y Yang, G Song, L Liu, M Lan, X Chen Habitat International 129, 102673, 2022 | 7 | 2022 |
| Assessing the intraday variation of the spillover effect of tweets-derived ambient population on crime L Liu, M Lan, JE Eck, B Yang, H Zhou Social Science Computer Review 40 (2), 512-533, 2022 | 7 | 2022 |
| Measuring perceived racial heterogeneity and its impact on crime: an ambient population-based approach X Gu, L Liu, M Lan, H Zhou Cities 134, 104188, 2023 | 4 | 2023 |
Lin LiuProfessor of Geography, University of CincinnatiVerified email at uc.edu
