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Evaluation Methods in Various Fields

Evaluation Methods in Various Fields is a research topic within Ecological Modeling. Science Explorer counts 33k research works in it since 1952. 2.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the application of fuzzy modeling, analytic hierarchy process, and entropy weight decision-making in various environmental and energy-related domains. It also explores the use of tree shrews as an emerging model for human diseases, particularly lung cancer. Additionally, it addresses topics such as urban green transportation planning, power quality monitoring systems, and residential electricity demand responses.

  • Fuzzy Modeling
  • Analytic Hierarchy Process
  • Entropy Weight
  • Power Network Structure Assessment
  • Tree Shrews
  • Seismic Reservoir Rules Extraction
  • Urban Green Transportation Planning
  • Power Quality Monitoring System
  • Lung Cancer Model
  • Electricity Demand Response
Research works
33k
fractional, since 1952
In the world top 10%
943
per year above
Top-10% rate
2.9%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-73%
the tick is no change

Which countries lead Evaluation Methods in Various Fields research?

By volume, China and ?? publish the most (1.5k and 40 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.5k works
  2. 2 ?? 40 works
  3. 3 India 36 works
  4. 4 Vietnam 35 works
  5. 5 United States 30 works
  6. 6 Japan 16 works
  7. 7 South Korea 15 works
  8. 8 United Kingdom 12 works
  9. 9 Indonesia 11 works
  10. 10 Australia 9 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

China: 88.2%??: 2.3%India: 2.1%Vietnam: 2.0%6 others listed: 5.4%88%largest
China1,518 · 88.2%??40 · 2.3%India36 · 2.1%Vietnam35 · 2.0%6 others listed93 · 5.4%

Shares of the rows listed above, not of the whole node.

Which institutions lead Evaluation Methods in Various Fields research?

By volume in 2022–2025, State Grid Corporation of China (China) publishes the most Evaluation Methods in Various Fields research, followed by North China Electric Power University and China Southern Power Grid (China).

By volume, 2022–2025

  1. 1 State Grid Corporation of China (China) China 48 works
  2. 2 North China Electric Power University China 39 works
  3. 3 China Southern Power Grid (China) China 38 works
  4. 4 Shanghai Electric (China) China 29 works
  5. 5 Beijing Jiaotong University China 15 works
  6. 6 Tongji University China 14 works
  7. 7 Wuhan University of Technology China 14 works
  8. 8 Chang'an University China 11 works
  9. 9 Sichuan University China 11 works
  10. 10 Shenyang Jianzhu University China 11 works

Who are the leading researchers in Evaluation Methods in Various Fields?

The most-cited researchers publishing on Evaluation Methods in Various Fields include Zeshui Xu, Yan Xu and Jun Zhang.

  1. 1 Zeshui Xu 3.3k citations
  2. 2 Yan Xu 2.1k citations
  3. 3 Jun Zhang 2.1k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Evaluation Methods in Various Fields research done?

The largest centres of Evaluation Methods in Various Fields research in 2022–2025 are Beijing (China), Shanghai (China), Guangzhou (China) and Wuhan (China).

Largest cities, 2022–2025

  1. 1 Beijing China 300 works
  2. 2 Shanghai China 105 works
  3. 3 Guangzhou China 85 works
  4. 4 Wuhan China 71 works
  5. 5 Nanjing China 67 works
  6. 6 Xi'an China 61 works
  7. 7 Chengdu China 43 works
  8. 8 Jinan China 42 works
  9. 9 Chongqing China 41 works
  10. 10 Tianjin China 40 works
See Evaluation Methods in Various Fields on the map

Where is the best place to study Evaluation Methods in Various Fields?

Among universities, judged by research, Wuhan University of Technology, North China Electric Power University and Hohai University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%10%20%mean 12.06%fractional works in this node (log) →share in the world top 10% →Wuhan University of Technology: 14, 15.4%North China Electric Power University: 39, 7.2%Hohai University: 9, 13.6%Anhui University: 9, 14.0%Beijing Jiaotong University: 15, 10.0%Chongqing Jiaotong University: 9, 13.4%Zhengzhou University: 9, 17.8%Tongji University: 14, 12.5%Lanzhou Jiaotong University: 8, 12.3%Chang'an University: 11, 4.4%Wuhan University of …Anhui UniversityHohai UniversityNorth China Electric…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1Wuhan University of Technology China 62.015.4%10.0×14 -82.7%
2North China Electric Power University China 57.77.2%33.5×39 -61.1%
3Hohai University China 56.713.6%9.8×9 -82.4%
4Anhui University China 54.114.0%11.0×9 -90.6%
5Beijing Jiaotong University China 53.710.0%14.0×15 -70.7%
6Chongqing Jiaotong University China 52.713.4%29.1×9 -91.6%
7Zhengzhou University China 50.317.8%6.3×9 -85.5%
8Tongji University China 48.612.5%6.4×14 -82.9%
9Lanzhou Jiaotong University China 46.112.3%20.0×8 -81.3%
10Chang'an University China 42.54.4%17.3×11 -80.9%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Evaluation Methods in Various Fields research growing?

Output in 2018–2022 was 73% lower than in 2013–2017, peaking in 2011.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.