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Plant Methods

Plant Methods杂志,由BioMed Central出版,于2005年创刊,Irregular,出版语言English,ISSN:1746-4811,E-ISSN:1746-4811。

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Plant Methods
Plant Methods
Plant Methods
SCI SCIE

杂志介绍

JCR分区
Q1
中科院分区
2区
影响因子
5.2
CiteScore
8.7
期刊收录
SCI、SCIE

Plant Methods(中文译名:《植物方法》),ISSN:1746-4811,EISSN:1746-4811,是BioMed Central出版的国际性学术期刊,创刊于2005年,以Irregular形式稳定发行,2026年总发文量约165篇。该刊采用OA开放访问,学科归属为生物 - 植物科学。该刊是生物、生化研究方法领域的国际权威刊物,已被SCI(科学引文索引)、SCIE(科学引文索引扩展版)等国际主流学术数据库收录。2026年期刊影响因子达5.2,2025年期刊CiteScore为8.7,2025年期刊自引率约1.9%,在中科院期刊分区体系中位列生物学大类2区TOP 期刊,在所属学科领域具备高学术影响力与国际认可度。Plant Methods长期聚焦生物、生化研究方法及相关产业的技术应用前沿,平均审稿周期较慢,6-12周,审稿流程高效稳定。在稿件录用评判中,该刊将创新性与前沿性作为核心遴选标准,重点收录能够对生物、生化研究方法领域的落地与发展产生实质性推动价值的研究成果。

从全球发文格局来看,CHINA MAINLANDUSA、GERMANY (FED REP GER)、Australia、England、France、Spain等为核心发文国家与地区;CHINESE ACADEMY OF SCIENCESINRAE、CHINESE ACADEMY OF AGRICULTURAL SCIENCES、CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS (CSIC)、NANJING AGRICULTURAL UNIVERSITY、UK RESEARCH & INNOVATION (UKRI)、UNITED STATES DEPARTMENT OF AGRICULTURE (USDA)等高校与科研机构是期刊的主要发文单位。

期刊评价

名词解释:

影响因子(Impact Factor, IF):指该期刊前两年发表的文章,在第三年的平均被引用次数。它反映了期刊的近期平均影响力和热度。

中科院分区:中科院分区表是国内主流的学术期刊分级评价工具,核心意义是建立跨学科可比的统一评价标尺,为职称评审、学位授予、科研立项等科研管理工作提供标准化量化依据,同时帮助科研人员筛选优质期刊、规避学术风险,适配国内本土化的科研评价需求。

期刊分区表

《新锐期刊分区表》(2026年3月发布)

大类学科 小类学科 Top期刊 综述期刊
生物学
2区
BIOCHEMICAL RESEARCH METHODS 生化研究方法 PLANT SCIENCES 植物科学
2区 2区

期刊分区表(2025年3月升级版)

大类学科 小类学科 Top期刊 综述期刊
生物学
2区
BIOCHEMICAL RESEARCH METHODS 生化研究方法 PLANT SCIENCES 植物科学
2区 2区

期刊分区表(2023年12月升级版)

大类学科 小类学科 Top期刊 综述期刊
生物学
2区
BIOCHEMICAL RESEARCH METHODS 生化研究方法 PLANT SCIENCES 植物科学
2区 2区

JCR分区

2025-2026年最新版

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:BIOCHEMICAL RESEARCH METHODS SCIE Q1 12 / 85

86.5

学科:PLANT SCIENCES SCIE Q1 39 / 285

86.5

学科:BIOCHEMICAL RESEARCH METHODS SCIE Q1 7 / 85

92.35

学科:PLANT SCIENCES SCIE Q1 28 / 285

90.35

2024-2025年最新版

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:BIOCHEMICAL RESEARCH METHODS SCIE Q1 13 / 86

85.5

学科:PLANT SCIENCES SCIE Q1 41 / 273

85.2

学科:BIOCHEMICAL RESEARCH METHODS SCIE Q1 8 / 86

91.28

学科:PLANT SCIENCES SCIE Q1 31 / 275

88.91


中国学者近期发文

1
YOLO-RBSD: an efficient and accurate rice blast spore detector based on improved YOLOv

Author:Li, Chunhong; Huang, Dong; Zhou, Huiru

Journal: PLANT METHODS. 2026; Vol. 22, Issue 1, pp. -. DOI: 10.1186/s13007-026-01526-5

2
Enhancing plant disease detection through multi-modal integration of visual and textual dat

Author:Wang, Xuewei; Liu, Jun

Journal: PLANT METHODS. 2026; Vol. 22, Issue 1, pp. -. DOI: 10.1186/s13007-026-01521-w

3
Coleaf, an image recognition-driven approach facilitates the genome-wide association study with tea leaf morpholog

Author:Jiang, Mengwei; Chen, Shuai; Kong, Weilong; Wang, Yibin; Qu, Shenyang; Liao, Zhenyang; Garcia, Pedro; Noor-ul-Ain; Zhao, Qian; Tang, Haibao; Zhang, Xingtan

Journal: PLANT METHODS. 2026; Vol. 22, Issue 1, pp. -. DOI: 10.1186/s13007-026-01518-5

4
Integrated single marker scanning and sparse Bayesian learning improves performance of detection for GWA

Author:Zhang, Jin; Wu, Zhenghan; Cai, Mingzhi; Liu, Ke; Han, Xiaoyu; Liu, Chang; Han, Gang; Wen, Yangjun

Journal: PLANT METHODS. 2026; Vol. 22, Issue 1, pp. -. DOI: 10.1186/s13007-026-01516-7

5
SCFM-DETR: an enhanced transformer-based method for automated maize disease detection in field environment

Author:Tian, Sasa; Tao, Zhiqing; Li, Ke; Rao, Yuan; Xie, Xianhong; Yuan, Yuan; Zhu, Jun

Journal: PLANT METHODS. 2026; Vol. 22, Issue 1, pp. -. DOI: 10.1186/s13007-026-01507-8

6
Paft-wpest: wolfberry pests fine-grained classification method based on generative self-supervised learnin

Author:Liu, Jianping; Zhang, Yue; Zhang, Jianhua; Wang, Jian; Zhou, Guomin; Sun, Wei; Liu, Libo; Ren, Haiyu; Chen, Xi; Liu, Pan

Journal: PLANT METHODS. 2026; Vol. 22, Issue 1, pp. -. DOI: 10.1186/s13007-026-01506-9

7
OpenEar: an ultra-affordable, high-throughput, and accurate maize ear phenotyping syste

Author:Fan, Shaoqi; Li, Guoji; Bahitwa, Revocatus; Jia, Zhiguo; Zhang, Hongwei; Shao, Jinghong; Yu, Qiuying; Chen, Xiaoran; Qian, Yiheng; Xu, Mingchi; Zhu, Linlin; Wang, Hai

Journal: PLANT METHODS. 2026; Vol. 22, Issue 1, pp. -. DOI: 10.1186/s13007-026-01504-x

8
Organ-level 3D phenotyping of saffron using a low-cost dual-camera workflo

Author:Huang, Xulong; Jiang, Huajuan; Wan, Xuanting; Chen, Cuiping; Nie, Wei; Zhou, Tao; Pei, Jin; Peng, Cheng

Journal: PLANT METHODS. 2026; Vol. 22, Issue 1, pp. -. DOI: 10.1186/s13007-026-01505-w

9
MoEGP: an efficient crop genomic prediction approach based on the mixture of experts networ

Author:Pan, Ruiqing; Yang, Yaolong; Zhang, Yuanyuan; Xu, Qun; Feng, Yue; Chen, Junyu; Li, Wei; Wei, Xinghua; Zhang, Mengchen

Journal: PLANT METHODS. 2026; Vol. 22, Issue 1, pp. -. DOI: 10.1186/s13007-026-01500-1

10
Research on the classification model of rubber leaf powdery mildew disease severity based on hyperspectral multi-dimensional feature fusion (vol 21, 154, 2025

Author:Wang, Donghua; Ye, Huichun; You, Yanan; Nie, Chaojia; Wang, Jingjing; Wu, Bingsun; Cai, Fengzheng; Shen, Lixia; Deng, Jiajian

Journal: PLANT METHODS. 2026; Vol. 22, Issue 1, pp. -. DOI: 10.1186/s13007-025-01483-5


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Plant Methods

国际简称:PLANT METHODS参考译名:植物方法

年发文量:165 CiteScore:8.7 是否预警:否 Gold OA文章占比:99.80% 研究类文章占比:98.79%

杂志社联系方式:BIOMED CENTRAL LTD, 236 GRAYS INN RD, FLOOR 6, LONDON, ENGLAND, WC1X 8HL

Plant Methods