| Prosocial compliance in P2P lending: A natural field experiment N Du, L Li, T Lu, X Lu Management Science 66 (1), 315-333, 2020 | 73 | 2020 |
| The value of alternative data in credit risk prediction: Evidence from a large field experiment T Lu, Y Zhang, B Li | 31 | 2019 |
| Internet usage and patient's trust in physician during diagnoses: a knowledge power perspective T Lu, Y Xu, S Wallace Journal of the Association for Information Science and Technology 69 (1 …, 2018 | 28 | 2018 |
| Scientific knowledge communication in online Q&A communities: linguistic devices as a tool to increase the popularity and perceived professionalism of knowledge contribution Y Zhang, T Lu, CW Phang, C Zhang Journal of the Association for Information Systems 20 (8), 3, 2019 | 21 | 2019 |
| Can social notifications help to mitigate payment delinquency in online peer‐to‐peer lending? X Lu, T Lu, C Wang, R Wu Production and Operations Management 30 (8), 2564-2585, 2021 | 20 | 2021 |
| Integrating ego, homophily, and structural factors to measure user influence in online community C Zhang, T Lu, S Chen, C Zhang IEEE Transactions on Professional Communication 60 (3), 292-305, 2017 | 18 | 2017 |
| Why do borrowers default on online loans? An inquiry of their psychology mechanism X Wang, YC Xu, T Lu, C Zhang Internet Research 30 (4), 1203-1228, 2020 | 16 | 2020 |
| I like my app but I wanna try yours: exploring user switching from a learning perspective J Gu, X Wang, T Lu Internet Research 30 (2), 611-630, 2020 | 15 | 2020 |
| Profit vs. equality? the case of financial risk assessment and a new perspective on alternative data T Lu, Y Zhang, B Li MIS Quarterly, Forthcoming, 2023 | 13 | 2023 |
| Internet usage, physician performances and patient's trust in physician during diagnoses: investigating both pre-use and not-use internet groups T Lu, H Chen, Y Xu, C Zhang 2016 49th Hawaii International Conference on System Sciences (HICSS), 3189-3198, 2016 | 12 | 2016 |
| Examining the spillover effect of sustainable consumption on microloan repayment: A big data-based research Y Ye, X Lu, T Lu Information & Management 59 (5), 103288, 2022 | 10 | 2022 |
| Uncovering the Source of Evaluation Bias in Micro-Lending X Hu, Y Huang, B Li, T Lu Proceedings of the 2021 International Conference on Information Systems, 2021 | 10 | 2021 |
| Assessment of borrowers' delinquency and default behaviors in online P2P lending: a two-stage model C Zhang, T Lu, YC Xu | 10 | 2017 |
| The impact of venture capital investment on the performance of peer‐to‐peer lending platforms: Evidence from China D Gu, T Lu, P Luo, C Zhang Asia‐Pacific Journal of Financial Studies 48 (5), 640-665, 2019 | 9 | 2019 |
| Uncovering the source of machine bias X Hu, Y Huang, B Li, T Lu arXiv preprint arXiv:2201.03092, 2022 | 7 | 2022 |
| 1 1> 2? Information, Humans, and Machines T Lu, Y Zhang Information, Humans, and Machines (December 30, 2022), 2022 | 5 | 2022 |
| Transboost: A boosting-tree kernel transfer learning algorithm for improving financial inclusion Y Sun, T Lu, C Wang, Y Li, H Fu, J Dong, Y Xu Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12181 …, 2022 | 5 | 2022 |
| LEVERAGING MULTISOURCE HETEROGENEOUS DATA FOR FINANCIAL RISK PREDICTION: A NOVEL HYBRID-STRATEGY-BASED SELF-ADAPTIVE METHOD. G Wang, G Chen, H Zhao, F Zhang, S Yang, T Lu MIS Quarterly 45 (4), 2021 | 5 | 2021 |
| Psychosocial Factors lead to Delinquency Itention on Online Peer-to-Peer Lending Platform: a Survey Evidence. T Lu, Z Jia, YC Xu, L Huang, C Zhang PACIS, 191, 2016 | 5 | 2016 |
| Credit Risk Modeling without Sensitive Features: An Adversarial Deep Learning Model for Fairness and Profit X Hu, Y Huang, B Li, T Lu | 3 | 2022 |
Xianghua LuFudan UniversityVerified email at fudan.edu.cn
