China High Speed Railways and Stations (2016): papers linking to it

Harvard Dataverse · Dataset · 2016 · doi.org/10.7910/DVN/JIISNB

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to China High Speed Railways and Stations (2016) (https://doi.org/10.7910/DVN/JIISNB), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

Key findings#

4 papers in the tracked journals link to the Harvard Dataverse dataset China High Speed Railways and Stations (2016) in their Crossref records, the first in 2019; most of them (2) in 2022.
By category: Economics (2), Operations Research (1) and Management (1); the journals with the most are Land Use Policy (1), Transportation Research Part A Policy and Practice (1) and World Development (1).
2 of the papers build on one another: a later paper cites an earlier one that also links China High Speed Railways and Stations (2016).

By year#

20192023

Papers linking to China High Speed Railways and Stations (2016) by publication year
Year	Papers
2019	1
2022	2
2023	1

Journals#

Journals whose papers link to China High Speed Railways and Stations (2016) most
Journal	Papers
Land Use Policy	1
Transportation Research Part A Policy and Practice	1
World Development	1
Journal of Innovation & Knowledge	1

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

The impact of high-speed rail on innovation: An empirical test of the companion innovation hypothesis of transportation improvement with China’s manufacturing firms World Development, 2019
- Diversification or specialization: Measuring the impact of high-speed rail connection on technological diversity in China Journal of Innovation & Knowledge, 2023 — cites the paper above

Papers linking to China High Speed Railways and Stations (2016), most cited first
Published	Title	Journal	Authors	Citations	Link
2019-12-18	The impact of high-speed rail on innovation: An empirical test of the companion innovation hypothesis of transportation improvement with China’s manufacturing firms	World Development	Yanyan Gao, Jianghuai Zheng	160	cites it
2022-02-03	High-speed rail, new town development, and the spatial mismatch of land leases in China	Land Use Policy	Zheng Chang, Longfei Zheng, Tianren Yang et al.	56	cites it
2022-10-11	High-speed rail, market access, and the rise of consumer cities: Evidence from China	Transportation Research Part A Policy and Practice	Longfei Zheng, Zheng Chang, Andrea González Martinez	44	cites it
2023-01-01	Diversification or specialization: Measuring the impact of high-speed rail connection on technological diversity in China	Journal of Innovation & Knowledge	Jun Chen, Guangzhen Guo	24	cites it

How this is measured#

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

Cite this page

Scholar4AI. (2026). China High Speed Railways and Stations (2016): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/dataverse-jiisnb

@misc{scholar4ai-code-dataverse-jiisnb,
  author = {{Scholar4AI}},
  title = {China High Speed Railways and Stations (2016): papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/dataverse-jiisnb}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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