2023年10月14日
以第一作者身份撰写的论文《感知微观尺度上PM2.5暴露的环境不平等：基于社会阶层与市民身份的微观测量》被陕西省社会学会2023年学术年会接收
何凌锋, 贺力, 林泽正, 陆尧, 陈晨, 王忠民, 安平, 刘敏, 徐洁, & 高姝蕊. (2023, October 14). 感知微观尺度上PM2.5暴露的环境不平等：基于社会阶层与市民身份的微观测量. 陕西省社会学会2023年学术年会, 杨凌, 陕西, 中国.
2023年8月15日
以第二作者身份参与开发的软件《Shiny Application for Image Classification using Deep Learning Neural Networks》上传Zenodo
Zheng, Y., He, L., Zuo, T., & Xu, Z. (2023). Shiny Application for Image Classification using Deep Learning Neural Networks [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.8248138
2023年7月12日
以第一作者身份撰写的论文《Labors’ Crisis and Their Coping Strategies in the Covid-19 Era: Perspectives of Sociology of Favors Exchange》被8th Conference of the Regulating for Decent Work Network接收
He, L., & Lin, Z. (2023, July 10). Labors’ Crisis and Their Coping Strategies in the Covid-19 Era: Perspectives of Sociology of Favors Exchange. 8th Conference of the Regulating for Decent Work Network, Geneva, Switzerland.
2023年6月17日
以共同第一作者身份撰写的论文《阶层壁垒与政治极化——基于多来源数据的美国政治中气候议题政治化根源实证分析》被复旦国际关系论坛（2023）接收
林泽正, & 何凌锋. (2023, June 17). 阶层壁垒与政治极化——基于多来源数据的美国政治中气候议题政治化根源实证分析. 复旦国际关系论坛（2023）, 上海, 中国.
2023年5月12日
以第二作者身份撰写的预印本《Reconsideration Reproducibility of Currently Deep Learning-Based Radiomics: Taking Renal Cell Carcinoma as an Example》在SSRN上公开
Zuo, T., He, L., Lin, Z., Chen, J., & Li, N. (2023). Reconsideration Reproducibility of Currently Deep Learning-Based Radiomics: Taking Renal Cell Carcinoma as an Example (SSRN Scholarly Paper No. 4435866). https://doi.org/10.2139/ssrn.4435866
2023年3月27日
以第五作者身份参与的论文《Seeing the forest and the trees: Holistic view of social distancing on the spread of COVID-19 in China》在《Applied Geography》上发表
Yu, D., Zhang, Y., Meng, J., Wang, X., He, L., Jia, M., Ouyang, J., Han, Y., Zhang, G., & Lu, Y. (2023). Seeing the forest and the trees: Holistic view of social distancing on the spread of COVID-19 in China. Applied Geography, 154, 102941. https://doi.org/10.1016/j.apgeog.2023.102941
2023年3月9日
以共同第一作者身份撰写的论文《Spatio-temporal heterogeneity in the international trade resilience during COVID-19》在《Applied Geography》上发表
Luo, W., He, L., Yang, Z., Zhang, S., Wang, Y., Liu, D., Hu, S., He, L., Xia, J., & Chen, M. (2023). Spatio-temporal heterogeneity in the international trade resilience during COVID-19. Applied Geography, 154, 102923. https://doi.org/10.1016/j.apgeog.2023.102923
2023年3月7日
以共同第一作者身份撰写的预印本《Spatio-Temporal Heterogeneity in the International Trade Resilience During Covid-19: A Complex Network Approach》在SSRN上公开
Luo, W., He, L., Yang, Z., Zhang, S., Wang, Y., Liu, D., Hu, S., He, L., Xia, J., & Chen, M. (2022). Spatio-Temporal Heterogeneity in the International Trade Resilience During Covid-19: A Complex Network Approach (SSRN Scholarly Paper No. 4376755). SSRN. https://doi.org/10.2139/ssrn.4376755
2022年12月18日
论文《Spatial Equity of PM2.5 Exposure: A Spatial Analysis Using Mobile Phone Big Data》在The 2nd workshop of Asian Young Geographers 上获评优秀论文奖（Excellent Paper Award）
原文信息：He, L., Gao, S., & Lu, Y. (2022, December 17). Spatial Equity of PM2.5 Exposure: A Spatial Analysis Using Mobile Phone Big Data. The 2nd workshop of Asian Young Geographers, Online.
2022年12月17日
以第一作者身份撰写的论文《Spatial Equity of PM2.5 Exposure: A Spatial Analysis Using Mobile Phone Big Data》被 The 2nd workshop of Asian Young Geographers 接收
He, L., Gao, S., & Lu, Y. (2022, December 17). Spatial Equity of PM2.5 Exposure: A Spatial Analysis Using Mobile Phone Big Data. The 2nd workshop of Asian Young Geographers, Online.
2022年12月11日
论文《阶层壁垒与政治极化——基于多来源数据的美国政治中气候议题政治化根源实证分析》在中国人民大学第十一届研究生学术论坛上获评“专业之星”奖项
原文信息：林泽正, & 何凌锋. (2022, December 11). 阶层壁垒与政治极化——基于多来源数据的美国政治中气候议题政治化根源实证分析. 中国人民大学第十一届研究生学术论坛, 北京, 中国.
2022年12月11日
以共同第一作者身份撰写的论文《阶层壁垒与政治极化——基于多来源数据的美国政治中气候议题政治化根源实证分析》被中国人民大学第十一届研究生学术论坛接收
林泽正, & 何凌锋. (2022, December 11). 阶层壁垒与政治极化——基于多来源数据的美国政治中气候议题政治化根源实证分析. 中国人民大学第十一届研究生学术论坛, 北京, 中国.
2022年12月9日
以第三作者身份参与的论文《Automated Classification of Papillary Renal Cell Carcinoma and Chromophobe Renal Cell Carcinoma Based on a Small Unbalanced Computed Tomography Imaging Datasets Using Weakly Supervised Learning》被第二十九届全国泌尿外科学术会议接收
Zuo, T., Zheng, Y., He, L., Zheng, S., You, J., Wang, L., & Chen, J. (2022). Automated Classification of Papillary Renal Cell Carcinoma and Chromophobe Renal Cell Carcinoma Based on a Small Unbalanced Computed Tomography Imaging Datasets Using Weakly Supervised Learning. The 29th Meeting of the Chinese Urological Association (CUA2022), Online.
2022年7月9日
以第二作者身份撰写的论文《Social Eating as a Favor Exchange Facilitator: New Survey Evidence from China》在《Economic Sociology. Perspectives and Conversations》上发表
Bian, Y., & He, L. (2022). Social Eating as a Favor Exchange Facilitator: New Survey Evidence from China. Economic Sociology. Perspectives and Conversations, 23(3), 17–24. https://econsoc.mpifg.de/46073/econ_soc_23-3.pdf
2022年7月5日
论文《Automated Classification of Papillary Renal Cell Carcinoma and Chromophobe Renal Cell Carcinoma Based on a Small Computed Tomography Imaging Dataset Using Deep Learning》被收录于研究主题“Precision Medicine and Translational Research in Urological Oncology”
原文信息：Zuo, T., Zheng, Y., He, L., Chen, T., Zheng, B., Zheng, S., You, J., Li, X., Liu, R., Bai, J., Si, S., Wang, Y., Zhang, S., Wang, L., & Chen, J. (2021). Automated Classification of Papillary Renal Cell Carcinoma and Chromophobe Renal Cell Carcinoma Based on a Small Computed Tomography Imaging Dataset Using Deep Learning. Frontiers in Oncology, 11, 746750. https://doi.org/10.3389/fonc.2021.746750
2022年6月30日
以第二作者身份撰写的调研成果获评国家民委社会科学研究成果奖（调研报告类）优秀奖
题名保密
2022年2月25日
以第二作者身份参与的研究成果《International Trade Network Resilience during COVID-19》在AAG 2022 Annual Meeting上汇报
Luo, W., He, L., Yang, Z., Zhang, S., & Wang, Y. (2022, February 25). International Trade Network Resilience during COVID-19. AAG 2022 Annual Meeting, Online.
2021年11月18日
以第三作者身份参与的论文《Automated Classification of Papillary Renal Cell Carcinoma and Chromophobe Renal Cell Carcinoma Based on a Small Computed Tomography Imaging Dataset Using Deep Learning》在《Frontiers in Oncology》上发表
Zuo, T., Zheng, Y., He, L., Chen, T., Zheng, B., Zheng, S., You, J., Li, X., Liu, R., Bai, J., Si, S., Wang, Y., Zhang, S., Wang, L., & Chen, J. (2021). Automated Classification of Papillary Renal Cell Carcinoma and Chromophobe Renal Cell Carcinoma Based on a Small Computed Tomography Imaging Dataset Using Deep Learning. Frontiers in Oncology, 11, 746750. https://doi.org/10.3389/fonc.2021.746750
2020年2月18日
以第二作者身份参与的文章《全国返城复工进度如何？》在《澎湃新闻》上发表
李丁, & 何凌锋. (2020, February 18). 全国返城复工进度如何？. 澎湃新闻. https://www.thepaper.cn/newsDetail_forward_6040490