---
title: "Baidu Index: papers using this data, journals and trends"
description: "From Nov 2023 to Oct 2026, 87 archived papers mentioned Baidu Index in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Aug 2026 (9)."
url: https://scholar4ai.com/datasets/baidu-index
markdown_url: https://scholar4ai.com/datasets/baidu-index.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 87 archived papers mentioned Baidu Index in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Aug 2026 (9). (as of 2026-11-04)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-04T18:03:26+09:00
window: 2026-10-06 to 2026-11-04
source: OpenAlex (CC0)
---

# Baidu Index

[Browse dataset profiles](https://scholar4ai.com/datasets/directory.md)

Search volumes, news archives and web content used to measure attention, news and sentiment.

- data category: Search, news and web data
- 0 papers in the last 7 days
- Names searched for: Baidu Index, Baidu search

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Search, news and web data datasets: https://scholar4ai.com/datasets/search-news-and-web-data.md



## Key findings

- From Nov 2023 to Oct 2026, 87 archived papers mentioned Baidu Index in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Aug 2026 (9).
- Baidu Index was mentioned in 1 paper in the last 30 days (2026-10-06 to 2026-11-04), ranking #172 of the 255 datasets mentioned.
- By journal category: Operations Research (1).
- Most of them appeared in Transportation Research Part A Policy and Practice (1).
- From 2017 to 2026 (so far), Baidu Index was mentioned in 118 papers in the tracked journals, most of them in finance (60), economics (20) and management (10).
- 23 of them were published in 2025, against 2 in 2017.
- Since 2023, the institutions with the most of these papers were Peking University (6), Xiamen University (5) and Durham University (4).
- The journals publishing most of them were International Review of Economics & Finance (18), Financial Innovation (9) and International Review of Financial Analysis (5).
- The most-cited of them is “Retail investor attention and stock price crash risk: Evidence from China” (International Review of Financial Analysis, 2019), with 405 citations.
- Papers use Baidu Index most often with CSMAR (23), Google Trends (20) and Economic Policy Uncertainty index (14); it has 28 partners in the code and data network, in the group around CSMAR, CNRDS, National Bureau of….

## Mentions over 36 months

*Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)*

| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---:|---:|---:|---:|
|  | 24 | 26 | 37 | 87 |

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [Finance](https://scholar4ai.com/categories/finance.md) | 1 | 0 | 2 | 2 | 5 | 1 | 5 | 15 | 10 | 19 |
| [Economics](https://scholar4ai.com/categories/economics.md) | 1 | 0 | 1 | 0 | 2 | 0 | 2 | 7 | 2 | 5 |
| [Management](https://scholar4ai.com/categories/management.md) | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 3 | 5 |
| [Tourism and Hospitality](https://scholar4ai.com/categories/tourism-and-hospitality.md) | 0 | 2 | 0 | 0 | 0 | 1 | 1 | 2 | 3 | 1 |
| [AI](https://scholar4ai.com/categories/ai.md) | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 1 | 1 | 1 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 0 | 1 | 0 | 1 | 3 | 0 | 0 | 1 |
| [Health Economics and Policy](https://scholar4ai.com/categories/health-economics-and-policy.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| [Accounting](https://scholar4ai.com/categories/accounting.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| [Marketing](https://scholar4ai.com/categories/marketing.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| All categories | 2 | 2 | 3 | 3 | 7 | 5 | 14 | 27 | 23 | 32 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [International Review of Economics & Finance](https://scholar4ai.com/journals/international-review-of-economics-finance.md) | 18 |
| 2 | [Financial Innovation](https://scholar4ai.com/journals/financial-innovation.md) | 9 |
| 3 | [International Review of Financial Analysis](https://scholar4ai.com/journals/international-review-of-financial-analysis.md) | 5 |
| 4 | [Research in International Business and Finance](https://scholar4ai.com/journals/research-in-international-business-and-finance.md) | 4 |
| 5 | [Energy Economics](https://scholar4ai.com/journals/energy-economics.md) | 3 |
| 6 | [Economic Analysis and Policy](https://scholar4ai.com/journals/economic-analysis-and-policy.md) | 3 |
| 7 | [Journal of International Financial Markets Institutions and Money](https://scholar4ai.com/journals/journal-of-international-financial-markets-institutions-and-money.md) | 3 |
| 8 | [Borsa Istanbul Review](https://scholar4ai.com/journals/borsa-istanbul-review.md) | 3 |
| 9 | [Journal of Innovation & Knowledge](https://scholar4ai.com/journals/journal-of-innovation-knowledge.md) | 3 |
| 10 | [Journal of Business Ethics](https://scholar4ai.com/journals/journal-of-business-ethics.md) | 2 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Peking University](https://scholar4ai.com/institutions/peking-university.md) | 6 |
| 2 | [Xiamen University](https://scholar4ai.com/institutions/xiamen-university.md) | 5 |
| 3 | [Durham University](https://scholar4ai.com/institutions/durham-university.md) | 4 |
| 4 | Edinburgh Napier University | 3 |
| 5 | [Nanjing University](https://scholar4ai.com/institutions/nanjing-university.md) | 3 |
| 6 | [Renmin University of China](https://scholar4ai.com/institutions/renmin-university-of-china.md) | 3 |
| 7 | [Shenzhen University](https://scholar4ai.com/institutions/shenzhen-university.md) | 3 |
| 8 | [Southwestern University of Finance and Economics](https://scholar4ai.com/institutions/southwestern-university-of-finance-and-economics.md) | 3 |
| 9 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 3 |
| 10 | [University of Birmingham](https://scholar4ai.com/institutions/university-of-birmingham.md) | 3 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 77 |
| 2 | United Kingdom | 27 |
| 3 | Hong Kong | 6 |
| 4 | United States | 6 |
| 5 | Australia | 5 |
| 6 | Spain | 3 |
| 7 | France | 3 |
| 8 | Saudi Arabia | 3 |
| 9 | Canada | 2 |
| 10 | Denmark | 2 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | Baidu Index | 25 |
| 2 | [China](https://scholar4ai.com/keywords/china.md) | 17 |
| 3 | investor attention | 12 |
| 4 | [COVID-19 pandemic](https://scholar4ai.com/keywords/covid-19-pandemic.md) | 7 |
| 5 | [Chinese stock market](https://scholar4ai.com/keywords/chinese-stock-market.md) | 7 |
| 6 | [Chinese listed companies](https://scholar4ai.com/keywords/chinese-listed-companies.md) | 6 |
| 7 | [corporate governance](https://scholar4ai.com/keywords/corporate-governance.md) | 5 |
| 8 | [fintech](https://scholar4ai.com/keywords/fintech.md) | 5 |
| 9 | [air pollution](https://scholar4ai.com/keywords/air-pollution.md) | 4 |
| 10 | [corporate social responsibility](https://scholar4ai.com/keywords/corporate-social-responsibility.md) | 4 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 405 | 4.6 | [Retail investor attention and stock price crash risk: Evidence from China](https://doi.org/10.1016/j.irfa.2019.101376) | [International Review of Financial Analysis](https://scholar4ai.com/journals/international-review-of-financial-analysis.md) | 2019-07-29 | Fenghua Wen, Longhao Xu, Guangda Ouyang et al. |
| 2 | 381 | 3.8 | [Forecasting tourist arrivals with machine learning and internet search index](https://doi.org/10.1016/j.tourman.2018.07.010) | [Tourism Management](https://scholar4ai.com/journals/tourism-management.md) | 2018-07-18 | Shaolong Sun, Yunjie Wei, Kwok‐Leung Tsui et al. |
| 3 | 286 | 3.3 | [Stock market response to environmental policies: Evidence from heavily polluting firms in China](https://doi.org/10.1016/j.econmod.2019.09.028) | [Economic Modelling](https://scholar4ai.com/journals/economic-modelling.md) | 2019-09-23 | Mengmeng Guo, Yicheng Kuai, Xiaoyan Liu |
| 4 | 248 | 2.4 | [Effective tourist volume forecasting supported by PCA and improved BPNN using Baidu index](https://doi.org/10.1016/j.tourman.2018.03.006) | [Tourism Management](https://scholar4ai.com/journals/tourism-management.md) | 2018-03-18 | Shaowen Li, Tao Chen, Lin Wang et al. |
| 5 | 186 | 2.8 | [The impact of COVID-19 on the stock market crash risk in China](https://doi.org/10.1016/j.ribaf.2021.101419) | [Research in International Business and Finance](https://scholar4ai.com/journals/research-in-international-business-and-finance.md) | 2021-04-09 | Zhifeng Liu, Toan Luu Duc Huynh, Peng‐Fei Dai |

## Used together with

Papers use Baidu Index most often with CSMAR (23), Google Trends (20) and Economic Policy Uncertainty index (14); it has 28 partners in the code and data network, in the group around CSMAR, CNRDS, National Bureau of….

*What papers use Baidu Index together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [CSMAR](https://scholar4ai.com/datasets/csmar.md) | Dataset | 23 | 21.3 |
| [Google Trends](https://scholar4ai.com/datasets/google-trends.md) | Dataset | 20 | 12.4 |
| [Economic Policy Uncertainty index](https://scholar4ai.com/datasets/economic-policy-uncertainty-index.md) | Dataset | 14 | 2.4 |
| [CNRDS](https://scholar4ai.com/datasets/cnrds.md) | Dataset | 11 | 31.0 |
| [Twitter / X](https://scholar4ai.com/datasets/twitter-x.md) | Dataset | 10 | 0.9 |
| [China government work reports](https://scholar4ai.com/datasets/china-government-work-reports.md) | Dataset | 8 | 44.4 |
| [National Bureau of Statistics of China](https://scholar4ai.com/datasets/national-bureau-of-statistics-of-china.md) | Dataset | 8 | 19.8 |
| [NOAA](https://scholar4ai.com/datasets/noaa.md) | Dataset | 8 | 14.0 |
| [Wind](https://scholar4ai.com/datasets/wind.md) | Dataset | 8 | 19.9 |
| [S&P 500](https://scholar4ai.com/datasets/s-p-500.md) | Dataset | 7 | 1.2 |
| [Climate Policy Uncertainty index](https://scholar4ai.com/datasets/climate-policy-uncertainty-index.md) | Dataset | 6 | 4.4 |
| [Marketization index (Fan Gang)](https://scholar4ai.com/datasets/marketization-index-fan-gang.md) | Dataset | 6 | 3.6 |

The whole network: https://scholar4ai.com/code/network.md

## Papers

*Papers mentioning Baidu Index in the last 30 days, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-21 | [Exploring inequalities in 15-minute walkable neighborhoods: A typology of perceived accessibility-preference mismatch](https://doi.org/10.1016/j.tra.2026.105321) | [Transportation Research Part A Policy and Practice](https://scholar4ai.com/journals/transportation-research-part-a-policy-and-practice.md) | Kunbo Shi, Lingkun Meng, Yang Hu et al. | Beijing Jiaotong University; University of Hong Kong; Nanjing University; … |

## Cite this page

Scholar4AI. (2026). Baidu Index. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/baidu-index

```bibtex
@misc{scholar4ai-datasets-baidu-index,
  author = {{Scholar4AI}},
  title = {Baidu Index},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/baidu-index}},
  urldate = {2026-11-04},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).