
Journal of library and information science in agriculture ›› 2018, Vol. 30 ›› Issue (1): 94-98.doi: 10.13998/j.cnki.issn1002-1248.2018.01.017
• Literature study • Previous Articles Next Articles
ZHENG Xinyan, HU Wenliang, XI Qingkui
CLC Number:
| [1] 杨帆,李荣,崔勇,等.中国有机肥料资源利用现状与发展建议[J].中国土壤与肥料,2010,(4):77-82. [2] 张夫道.有机-无机肥料配合是现代施肥技术的发展方向[J].土壤肥料,1984,(1):16-19. [3] 莫淑勋,钱菊芬,钱承梁.猪粪等有机肥料中磷素养分循环再利用的研究[J].土壤学报,1991,28(3):309-315. [4] 梁永霞,杨中楷,刘则渊.基于CiteSpaceII的航空航天工程前沿研究[J].科学学研究,2009,26(2):303-312. [5] 陈悦,陈超美,胡志刚,等.引文空间分析原理[M].北京:科学出版社,2014. [6] 赵蓉英,许丽敏.文献计量学发展演进与研究前沿的知识图谱探析[J].中国图书馆学报,2010,36(5):60-68. [7] 秦晓楠,卢小丽,武春友.国内生态安全研究知识图谱——基于Citespace的计量分析[J].生态学报,2014,34(13):3693-3703. |
| [1] | YANG Siluo, DU Jiayu. Construction Path of China's Independent Knowledge System for Academic Evaluation [J]. Journal of library and information science in agriculture, 2026, (): 1-8. |
| [2] | WANG Song, PAN Yuanyuan. Multidimensional Market Demand Theme Identification and Evolution Analysis of Potential Disruptive Technologies [J]. Journal of library and information science in agriculture, 2026, (): 1-15. |
| [3] | HOU Yanhui, WANG Zixuan, WANG Jiakun. "Innovation-Aturity" Technology Opportunity Identification Based on Technological Complementarity [J]. Journal of library and information science in agriculture, 2026, 38(1): 44-57. |
| [4] | HE Ying, SUN Wei, LI Zhoujing, MA Xiaomin. Research and Application of Evidence Recommendation Methods in Science and Technology Evidence-Based Policy Making [J]. Journal of library and information science in agriculture, 2025, (): 1-14. |
| [5] | HE Ying, SUN Wei, LI Zhoujing, MA Xiaomin. Research and Application of Evidence Recommendation Methods in Science and Technology Evidence-Based Policy Making [J]. Journal of library and information science in agriculture, 2025, 37(11): 90-103. |
| [6] | LI Xinxin, MA Yumeng, JU Zihan, WANG Jing. Aspect-Level Sentiment Analysis of Science and Technology Policy Reviews Based on Large Language Models: A Case Study of the New Energy Vehicle Industry [J]. Journal of library and information science in agriculture, 2025, 37(10): 53-66. |
| [7] | YOU Ge, LI Jielin, ZHANG Fangshun. Generating Mechanism of Online Public Opinion Heat in Public Emergencies from the Perspective of Information Ecology: Fuzzy Set Qualitative Comparative Analysis Based on 50 Cases [J]. Journal of library and information science in agriculture, 2025, 37(1): 86-99. |
| [8] | XIANG Rui, SUN Wei. Methodology for Assessing the Influence of Technical Topics Based on PhraseLDA-SNA and Machine Learning [J]. Journal of library and information science in agriculture, 2024, 36(4): 45-62. |
| [9] | YAO Ru, WANG Jinfei, LIN Qiao, KONG Lingbo, NIE Yingli. Interdisciplinary Knowledge Integration: Current Situation and Perspectives [J]. Journal of library and information science in agriculture, 2024, 36(4): 21-35. |
| [10] | LIU Ting, ZHAO Yajuan. Review and Prospect of Research on Technology Opportunity Identification [J]. Journal of library and information science in agriculture, 2023, 35(7): 4-17. |
| [11] | WANG Jinfei, SUN Wei, ZHANG Xuefu, YANG Lu. Interdisciplinarity Measurement Method of Scientific Research Papers based on Adaptive Feature Selection [J]. Journal of library and information science in agriculture, 2023, 35(3): 52-70. |
| [12] | YU Liping, PAN Weibo. Key Indicators of Journal Evaluation Based on K-means and PLS-DA [J]. Journal of library and information science in agriculture, 2022, 34(12): 55-64. |
| [13] | WANG Xin, LU Yao, YUAN Xue, ZHAO Wanjing, CHEN Li, LIU Minjuan. A Survey of Author Name Disambiguation Techniques of Academic Papers [J]. Journal of library and information science in agriculture, 2022, 34(10): 82-90. |
| [14] | XIAO Shiyi, WEN Tingxiao. Reform and Implementation Path of University Evaluation under the Internet Environment [J]. Journal of library and information science in agriculture, 2022, 34(7): 98-106. |
| [15] | HUANG Yichun. Research on the Development Trend of Crop Breeding in China from the Supply of Innovative Elements [J]. Journal of library and information science in agriculture, 2022, 34(5): 31-46. |
|
||