一、学术期刊影响力的内涵与评价意义
Journal influence is a multidimensional concept: it includes both the "quality" dimension—the average academic standard of the papers a journal publishes (characterized by quality signals such as impact factor and partition)—and the "quantity" dimension—the scale at which a journal is read, cited, and disseminated within the academic community (characterized by scale signals such as total citations, publication volume, and H-index). Any single indicator has its limitations: the impact factor is easily affected by review journals and disciplinary differences, while total citations are easily affected by journal age and publication volume. Therefore, scientific journal evaluation should adopt a multidimensional indicator system that seeks balance between quality and scale.
期刊影响力是一个多维概念：它既包括"质"的维度——期刊所刊发论文的平均学术水准（由影响因子、分区等质量信号刻画），也包括"量"的维度——期刊在学术共同体中被阅读、引用、传播的规模（由总被引、发文量、H 指数等规模信号刻画）。单一指标均有其局限：影响因子易受综述类期刊与学科差异影响，被引总量易受刊龄与发文量影响。因此，科学的期刊评价应当采用多维指标体系，在质量与规模之间寻求均衡。
二、指标体系的构建
- 影响因子（IF）：期刊前两年发表论文在统计当年篇均被引次数，是衡量期刊"平均单篇影响力"的核心质量指标，权重最高。
- 中科院分区：以影响因子为基础、结合学科差异划分的期刊等级（1 区为同学科前 5%，2 区为 6%–20%），是衡量期刊"学科内相对地位"的质量指标。
- 总被引次数：期刊历年论文被引总量，衡量期刊的"历史影响力与学术沉淀"规模。
- 发文量：期刊年度载文量，衡量期刊的"学术容量与传播规模"。
- H 指数：期刊论文中至少有 h 篇各被引用至少 h 次，兼顾"质量与数量"的平衡指标，对规模与水准同时敏感。
三、加权求和模型
This index uses a weighted-sum model with public weights; each indicator is first mapped to 0-1 through a standardization function σ(·), then synthesized by weight and scaled to a hundred-point system:
本指数采用权重公开的加权求和模型，各指标先经标准化映射 σ(·) 统一至 0–1，再按权重合成、放大至百分制：
Standardization rules: ① the impact factor uses linear min-max mapping (with the upper bound capped at the highest value in this list, naturally capping to avoid infinite amplification of extreme values); ② the partition uses discrete level mapping (Zone 1 = 1.0, Zone 2 = 0.78); ③ total citations use log10 logarithmic mapping—citation counts span several orders of magnitude, so logarithms avoid a few journals with massive citations monopolizing that item's score; ④ publication volume and H-index use linear min-max mapping.
标准化规则：①影响因子采用线性 min-max 映射（区间上限以本榜最高值为准，天然封顶，避免极端值无限放大）；②分区为离散等级映射（1 区=1.0，2 区=0.78）；③总被引采用 log10 对数映射——被引频次跨数个数量级，取对数可避免少数巨量被引的期刊垄断该项得分；④发文量与 H 指数采用线性 min-max 映射。
四、指标与权重依据
| 指标 | 方向 | 权重 | 标准化 | 依据 |
|---|
| 影响因子 | 正向 | 0.30 | 线性 min-max | 篇均被引，核心质量信号 |
| 中科院分区 | 正向 | 0.25 | 离散映射 | 学科内相对地位，校正学科差异 |
| 总被引次数 | 正向 | 0.20 | log10 映射 | 历史影响力与学术沉淀 |
| 发文量 | 正向 | 0.10 | 线性 min-max | 学术容量与传播规模 |
| H 指数 | 正向 | 0.15 | 线性 min-max | 质量与数量的平衡 |
The impact factor and CAS partition together carry a weight of 0.55, forming the "quality dimension" and playing a dominant role; total citations, publication volume, and H-index form the "scale dimension," totaling 0.45, playing a corrective and balancing role to prevent review journals with "high impact factor but very few papers" from occupying high positions excessively, and to prevent journals with "massive publication but low per-paper influence" from being inflated.
影响因子与中科院分区合计权重 0.55，构成"质量维"，占主导地位；总被引、发文量、H 指数构成"规模维"，合计 0.45，起修正与平衡作用，避免"高影响因子但载文极小"的综述型期刊过度占据高位，也避免"海量发文但单篇影响力低"的期刊虚高。
五、数据来源与局限性
The impact factor references Clarivate's Journal Citation Reports (JCR); the CAS partition references the Journal Ranking Table of the National Science Library, Chinese Academy of Sciences; and total citations, publication volume, and H-index reference the Web of Science and Scopus databases. The above values are approximate values from publicly available common knowledge, marked "subject to official figures." This model is a unified cross-disciplinary comparison, and differences in citation habits across disciplines (for example, medicine and materials have higher overall citation counts than mathematics) are difficult to eliminate entirely; the partition indicator has already provided partial correction. The ranking is for research and reference only.
影响因子参考科睿唯安（Clarivate）《期刊引证报告》（Journal Citation Reports, JCR）；中科院分区参考中国科学院文献情报中心《期刊分区表》；总被引、发文量、H 指数参考 Web of Science 与 Scopus 数据库。以上数值为公开常识近似值，标注"以官方为准"。本模型为跨学科统一比较，学科间引用习惯差异（如医学、材料学科整体引用量高于数学）难以完全消除，分区指标已作部分校正，排名仅供研究与参考。
六、参考文献
- Garfield, E. (2006). "The history and meaning of the journal impact factor." JAMA, 295(1), 90–93.
- Clarivate Analytics：《Journal Citation Reports（JCR）》影响因子定义与计算方法。
- 中国科学院文献情报中心：《期刊分区表》升级版编制说明。
- Hirsch, J. E. (2005). "An index to quantify an individual's scientific research output." PNAS, 102(46), 16569–16572.
- 邱均平：《文献计量学》（第二版），科学出版社。
- Moed, H. F. (2005). 《Citation Analysis in Research Evaluation》, Springer.
- Web of Science（科睿唯安）、Scopus（爱思唯尔）文献数据库。