●代表性期刊文章
1. Feio M.J., R.M. Hughes, S. Serra, S. Nichols, B. Kefford, W. Robinson, M. Lintermans, O. Odume, M. Callisto, D. Macedo, J. Harding, A. Yates, W. Monk, K. Nakamura, T. Mori, M. Sueyoshi, N. Mercado-Silva, K. Chen, M.J. Baek, Y.J. Bae, R.D. Tachamo-Shah, D.N. Shah, I. Campbell, F. Arimoro, N. Moya, U. Keke, R. Martins, C. Alves, P. Pompeu, S. Sharma. In press. Fish and macroinvertebrate assemblages reveal extensive degradation of the world's rivers. Global Change Biology https://doi.org/10.1111/gcb.16439. (1区,顶刊,IF=13.211)
2. Vadas Jr. R.L., R.M. Hughes, Y.J. Bae, M.J. Baek, O.C.B. Gonzáles, M. Callisto, D.R. de Carvalho, K. Chen, M.T. Ferreira, P. Fierro, J.S. Harding, D.M. Infante, C.J. Kleynhans, D.R. Macedo, I. Martins, N.M. Silva, N. Moyar, S.J. Nichols, P.S. Pompeu, R. Ruaro, D.R.O. Silva, R. Jan Stevenson, B. de Freitas Terra, C. Thirion, D. Ticiani, L.Z. Wang, C.O. Yoder. 2022. Assemblage-based biomonitoring of freshwater ecosystem health via multimetric indices: A critical review and suggestions for improving their applicability. Water Biology and Security 1: 100054.
3. Kuehne L.M., R.J. Rolls, K.J. Brandis, K. Chen, K.M. Fraley, L.K. Frost, S.S. Ho, E.H. Kunisch, S.D. Langhans, C.J. LeRoy, G. McDonald, P.J. McInerney, K.R. O’Brien, A.L. Strecker. 2022. Benefits of permanent adoption of virtual conferences for conservation ecology and ecologists. Conservation Biology e13884. (1区,IF=6.560)
4. Chen K., J.D. Olden. 2020. Threshold responses of riverine fish communities to land use conversion across regions of the world. Global Change Biology 26: 4952–4965. (1区,顶刊,IF=13.211)
5. Chen K., A.R. Rajper, R.M. Hughes, J.R. Olson, H. Wei, B. Wang. 2019. Incorporating functional traits to enhance multimetric index performance and assess land use gradients. Science of the Total Environment 691: 1005–1015. (1区,IF=10.753)
6. Chen K., J.R. Olson, J.J. Vander Laan, R.A. Hill, B. Wang, C.P. Hawkins. 2019. Improving the performance of ecological indices by balancing reference site quality and representativeness. Hydrobiologia 837: 177–194. (2区,IF=2.694)
7. Chen K., D. Sun, A.R. Rajper, M. Mulatibieke, R.M. Hughes, Y. Pan, A. Tayibazaer, Q. Chen, B. Wang. 2019. Concordance in biological condition and biodiversity between diatom and macroinvertebrate assemblages in Chinese arid-zone streams. Hydrobiologia 829: 245–263. (2区,IF=2.694)
8. Chen K., R.M. Hughes, J.G. Brito, C.G. Leal, R.P. Leitao, J.M.B. de Oliveira-Junior, V.C. de Oliveira, K.D. da Silva, S.F.B. Ferraz, J. Ferreira, N. Hamada, L. Juen, J. Nessimian, P.D.S. Pompeu, J, Zuanon. 2017. A multi-assemblage, multi-metric biological condition index for eastern Amazon streams. Ecological Indicators 78: 48–61. (1区,IF=6.263)
9. Chen K., R.M. Hughes, B. Wang. 2015. Effects of fixed-count size on macroinvertebrate richness, site separation, and bioassessment of Chinese monsoonal streams. Ecological Indicators 53: 162–170. (1区,IF=6.263)
10. Chen K., R.M. Hughes, S. Xu, J. Zhang, D. Cai, B. Wang. 2014. Evaluating performance of macroinvertebrate-based adjusted and unadjusted multi-metric indices (MMI) using multi-season and multi-year samples. Ecological Indicators 36: 142–151. (1区,IF=6.263)
11. 付飞, 魏慧玉, 常育腾, 王备新, 陈凯Ϯ. 已接收. 澜沧江中游水生昆虫生活史和生态学性状多样性的海拔格局:气候和土地利用的影响. 生物多样性. (一类核心)
12. 魏慧玉, 陈凯Ϯ, 王备新. 2020. 澜沧江流域水生昆虫群落分类多样性和功能多样性海拔格局的空间尺度依赖性. 生物多样性 28(4): 504–514. (一类核心)
13. 陈凯, 陈求稳, 于海燕, 王备新, 金小伟, 王业耀, 许人骥, 蔡琨. 2018. 应用生物完整性指数评价我国河流的生态健康. 中国环境科学 38(4): 1589–1600. (一类核心, EI)
14. 李胜利, 易茂红, 陈凯 Ϯ, 丁宁, 王备新, 姚花荣. 2018. 渭河底栖动物性状和功能对空间尺度环境变量响应的生态区差异性. 生态学报 38(7): 2566–2578. (一类核心)
15. 陈凯, 于海燕, 张汲伟, 王备新, 陈求稳. 2017. 基于底栖动物预测模型构建生物完整性指数(MMI)评价河流健康. 应用生态学报 6(28): 1993–2002. (一类核心)yt
●书籍/章节
1. Olden J.D., K. Chen, E. García-Berthou, A.J. King, Alison, J. South, J.R.S. Vitule. 2021. Invasive Species in Streams and Rivers⁎. Reference Module in Earth Systems and Environmental Sciences, Elsevier.
2. Hughes R.M., D. Infante, L. Wang, K. Chen, B.F. Terra. 2019. Advances in understanding landscape influences on freshwater habitats and biological assemblages. In American Fisheries Society, Symposium (Vol. 90).