The DOI matches its Crossref record.
The Chinese People at War: Human Suffering and Social Transformation, 1937–1945
Abstract
Diana Lary, one of the foremost historians of the period, tells the tragic history of China's War of Resistance and its consequences from the perspective of those who went through it. Using archival evidence only recently made available, interviews with survivors, and extracts from literature, she creates a vivid and highly disturbing picture of the havoc created by the war, the destruction of towns and villages, the displacement of peoples, and the accompanying economic and social disintegration. As the author suggests in this 2010 interpretation of modern Chinese history, far from stemming the spread of communism from the USSR, which was the Japanese pretext for invasion, the horrors of the war, and the damage it created, nurtured the Chinese Communist Party and helped it to win power in 1949.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“By contrast, the official death toll of the 1938 Yellow River flood was over ten times that number, with refugees numbering in the millions (Lary, 2010, pp. 61 -62).”
From Before the NGO: Chinese Charities in Historical Perspective (2015) · cites this paper as Lary, 2010
Citations
Cites
Still being checked.
Cited by
Shaping Modern Shanghai: Colonialism in China's Global City
Jackson, I. (2017) · Cambridge University Press eBooks · doi:10.1017/9781108303934 · Cited by 66
Re-evaluating the 1940s CO 2 plateau
Bastos, A., Ciais, P., Barichivich, J., Bopp, L., Brovkin, V. A., Gasser, T., Peng, S., Pongratz, J., Viovy, N., & Trudinger, C. M. (2016) · Biogeosciences · doi:10.5194/bg-13-4877-2016 · Cited by 61
Yang, D. M.-H. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108784306 · Cited by 58
Before the NGO: Chinese Charities in Historical Perspective
DuBois, T. D. (2015) · Asian Studies Review · doi:10.1080/10357823.2015.1081870 · Cited by 26
Nizamani, M. M., Harris, A., Cheng, X., Zhu, Z., Jim, C. Y., & Wang, H. (2021) · Ecology and Evolution · doi:10.1002/ece3.7985 · Cited by 26
Metadata
- Authors
- Lary, D.
- Affiliations
- University of British Columbia (CA)
- Corresponding author
- Lary, Diana
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2010-07-25
- OpenAlex
- W4253389728
- Cited by
- 88
- References
- 0
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 1 · 2023: 3 · 2022: 2 · 2021: 6 · 2020: 16 · 2019: 4 · 2018: 12 · 2017: 13 · 2016: 3 · 2015: 6 · 2014: 6 · 2013: 3 · 2012: 2
- FWCI
- 3.88
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Cambridge University Press eBooks (publishedVersion)
- Topics
- Social Sciences › Political Science and International Relations › World Wars: History, Literature, and Impact
- Social Sciences › Arts and Humanities › History › Chinese history and philosophy
- Social Sciences › Political Science and International Relations › European history and politics
- Keywords
- Second Sino-Japanese War, civilian experience of war, war damage, displacement, social disintegration, economic disintegration, Japanese invasion of China, modern Chinese history, survivor testimony
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.