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Institution profile

National Chung Hsing University

TaiwanAsia

#628

QS World University Rankings 2026

27.4

QS 2026 overall score

QS World University Rankings data

Ranking data

QS World University Rankings source

#628

QS World University Rankings 2026

#661

QS World University Rankings 2025

27.4

QS 2026 overall score

QS 2026 indicators

Indicator-level data

Each card keeps the QS 2026 score and rank separate. A missing value is not estimated.

Academic reputation

QS 2026 score
28.6
QS 2026 rank
#436

Employer reputation

QS 2026 score
30.9
QS 2026 rank
#463

Faculty-student ratio

QS 2026 score
29.4
QS 2026 rank
#642

Citations per faculty

QS 2026 score
22.5
QS 2026 rank
#677

International faculty ratio

QS 2026 score
12.3
QS 2026 rank
#801

International student ratio

QS 2026 score
14
QS 2026 rank
#801

International student diversity

QS 2026 score
19
QS 2026 rank
#781

International research network

QS 2026 score
34.5
QS 2026 rank
#801

Employment outcomes

QS 2026 score
42.2
QS 2026 rank
#416

Sustainability

QS 2026 score
56.3
QS 2026 rank
#573
University profile

About National Chung Hsing University

National Chung Hsing University's affiliated units range from agricultural systems to artificial intelligence

National Chung Hsing University lists affiliated research units in biotechnology, advanced science and technology, humanities and social sciences, environmental conservation and disaster prevention, precision manufacturing, international agriculture, animal medicine, bird evolution and genomics, big data, smart agriculture, smart transportation, cybersecurity, and artificial intelligence. This is a broad institutional map, but the titles point to different objects of study. A biotechnology question may require biological material, laboratory procedures, and measured results. An agriculture question can involve soils, crops, water, machinery, field observations, or food systems. A transport question may use routes, sensors, maps, vehicle data, and public records. A humanities or social-sciences question may instead depend on texts, interviews, archives, surveys, or interpretation.

The range of units should not be compressed into one claim about the university's method. A data question, for example, might concern collection, storage, analysis, visualisation, security, or the consequences of a decision made from data. A cybersecurity question can focus on a system, a vulnerability, a governance process, user behaviour, or a training practice. An animal-medicine question may involve diagnosis, clinical records, biological material, or welfare observations. The public list gives useful vocabulary for narrowing a question, but a focused search still needs a page that identifies the specific research activity, its setting, and the material being examined.

At NCHU, a centre title must be separated from the evidence it could contain

The university's affiliated-unit page also names an experimental forest, agricultural and horticultural experiment stations, livestock-related facilities, agricultural machinery training settings, a pesticide-residue testing centre, and several college-level centres. These references make physical and organisational contexts visible. They do not tell a reader what each current project studies, which method it uses, or which materials are available for a particular question. An experimental-forest inquiry might require ecological observation, maps, species records, soils, climate measures, or long-term field data. A food-safety question may require samples, analytical protocols, measurements, regulation, and supply-chain context. The object of inquiry decides what counts as useful evidence.

Several listed units also connect health, environmental change, sustainability, precision medicine, brain and neuroscience, circular economy, and industry development. Those terms can overlap, yet their records should be read separately. A climate-related question may centre on exposure, land use, ecology, infrastructure, or community response. A precision-medicine question can require biological data, clinical context, ethics, and careful interpretation. A circular-economy question may involve materials, waste flows, design choices, organisational practice, or policy. A useful next source is not simply the centre with the most familiar word. It is the page that clarifies what is observed, analysed, made, tested, or interpreted within that setting.

Use NCHU's listed centres to narrow an agricultural, environmental, health, or data question

For National Chung Hsing University, start with one observable issue rather than a broad field. It might be a crop condition, an animal-health problem, a genomic pattern, a pollution event, a transport decision, a machine process, a cybersecurity practice, or an artificial-intelligence system. Then state the evidence needed: samples, sensor readings, field notes, laboratory measurements, maps, records, images, documents, source code, interviews, surveys, or models. This simple preparation makes the affiliated-unit list practical. It helps a reader seek the closest centre, station, laboratory, or project page instead of assuming that every unit with a related title is a direct match.

The official NCHU pages establish a diverse set of units and public research news within a larger university environment. They do not confirm that a named unit is active on a reader's exact topic, nor do they establish an appropriate method or resource for that topic. A precise connection should come from a local record that makes the research object and context visible together. If the available page only names a neighbouring area, it is still useful as a discovery lead, but not as final evidence. This distinction lets the National Chung Hsing University profile guide a careful search without stretching the institutional list into a promise.

Institution record

Country
Taiwan
Region
Asia
Status
Public
QS size code
L
Profile record updated
July 24, 2026

This date shows when this profile was refreshed. It is not a source-verification date from QS or the university.

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